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these features have caused them to gain acceptance in scientific circles at a tremendous pace&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">The aim of this article is to review the characteristics of the novel scientific evaluation systems auspiced by Google on the basis of Google Scholar &#40;Scholar Metrics&#44; Scholar Citations&#41; and the h-index &#40;the standard bibliometric indicator adopted by these services&#41;&#46; In addition&#44; a comparison is made of the indicators offered by these products with respect to those afforded by the already established Web of Science and Scopus tools &#8211; taking as study case the most relevant journals and investigators in the field of Intensive Care Medicine&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">The h-index&#58; a new bibliometric indicator for measuring scientific performance</span><p id="par0015" class="elsevierStylePara elsevierViewall">The impact factor was originally introduced in the 1970s by Eugene Garfield with the purpose of selecting journals for library collections under the assumption that the most cited journals would also be the most useful for investigators&#46; Developed on the basis of the famed Citation Indexes &#40;Science Citation Index&#44; Social Sciences Citation Index&#44; now forming part of the ISI Web of Science&#41;&#44; acceptance of the impact factor far exceeded the expectations of its creator&#44; and it soon became the gold standard for evaluation&#44; most particularly in the field of biomedicine&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Abuses in the application of this indicator have been denounced for years&#44;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2</span></a> and recently it has received criticism both due to the way in which it is calculated and because of its indiscriminate application in evaluative processes&#44;<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3&#8211;5</span></a> particularly referred to the rating of individual investigator performance&#8211;a practice which&#44; as was already pointed out by Eugene Garfield years ago&#44; is clearly inappropriate&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">The h-index was created in the context of the mentioned search for valid indicators for measuring individual performance&#46; Developed by Jorge Hirsch in August 2005&#44; the novel proposal of the Argentinean physicist condenses the quantitative &#40;production&#41; and qualitative dimensions &#40;citations&#41; of research in a single indicator&#8211;this having been a classical aspiration in bibliometrics&#46; A given scientist has an index of &#8220;h&#8221; when &#8220;h&#8221; of his or her articles has received at least &#8220;h&#8221; citations each&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> In other words&#44; an investigator with an h-index of 30 has published 30 articles with at least 30 citations each&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">The new indicator generated extraordinary interest among specialists in bibliometrics&#44; who soon started to discuss its advantages and inconveniences&#44; and to offer alternatives&#46; This gave rise to an enormous number of publications&#8211;to the point whereby in the year 2011 more than 800 articles on the h-index had been published&#46;<a class="elsevierStyleCrossRef" href="#fn0005"><span class="elsevierStyleSup">&#8224;</span></a> Apart from the many variants proposed to overcome its limitations &#40;g&#44; e&#44; hc&#44; hg&#44; y&#44; v&#44; f&#44; ch&#44; hi&#44; hm&#44; AWCR&#44; AWCRpA&#44; AW&#44; etc&#46;&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> the h-index has expanded from the evaluation of investigators &#40;its original purpose&#41; to the assessment of institutions&#44;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> countries<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> and scientific journals&#46;<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11&#44;12</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">Support of the new metrics came from the core databases in bibliometrics&#44; Web of Science and Scopus&#44; which immediately incorporated it to its set of indicators - facilitating consultation at all levels of aggregation&#46; Definitive consolidation in turn was facilitated by Google upon incorporating the tool to the two scientific evaluation products derived from its academic browser&#58; Google Scholar Metrics&#44; for journals&#44; and Google Scholar Citations&#44; for investigators&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The h-index has left its mark among many scientists as the definitive indicator for measuring the impact of their investigations&#46; In general terms&#44; it has been very well received by the scientific community&#44; since it is easy to calculate and is able to evaluate investigators using a single number&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The h-index is characterized by progressiveness and robustness&#44; as well as tolerance of statistical deviations and error&#46; It is a progressive marker that can only increase in the course of the career of a scientist&#44; 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While this is currently elusive&#44; considering the existing overabundance of scientific information&#44; it is essential to take into account that the indicator obtained is directly proportional to the coverage and quality of the database used&#46; In this sense&#44; and as will be seen further below&#44; the h-index varies according to the database used &#40;Google Scholar&#44; Web of Science&#44; Scopus&#41;&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">-</span><p id="par0060" class="elsevierStylePara elsevierViewall">The h-index is affected by the scientific production of the unit studied &#40;organization&#44; journal&#44; investigator&#41;&#46; Units with greater scientific production may have higher h-indexes&#44; thereby penalizing procedures based on selective publication strategies&#46;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a></p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">-</span><p id="par0065" class="elsevierStylePara elsevierViewall">The h-index is not valid for comparing investigators from different areas&#44; due to the different production and citation patterns of the different disciplines&#46; This is a limitation inherent to all bibliometric indicators&#44; and can only be overcome by adopting the following principle&#58; compare what is effectively comparable&#59; never compare the h-indexes or impact factors of different disciplines or specialties&#44; since the sizes of the corresponding scientific communities and their behavior in terms of production and citation differ considerably&#46; As an example&#44; in the year 2011&#44; the journal with the greatest impact in Intensive Care Medicine had an impact factor of 11&#46;080&#44; while in Neurology the leading journal had an impact factor of 30&#46;445&#8211;this in no way implying that the former publication is less relevant than the latter&#46; It is also known that clinical journals reach more modest values than journals in basic areas&#44; and that reviews draw a larger number of citations than original papers&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> These are only some examples of the limitations inherent to the impact factor&#46;</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">-</span><p id="par0070" class="elsevierStylePara elsevierViewall">It is not appropriate to compare junior investigators&#44; with scant production&#44; versus veteran authors with a long scientific trajectory&#46; In order to avoid this problem&#44; it is advisable to compare indicators within similar time windows&#46; Google Scholar has adopted this perspective&#44; offering the indicator for individual investigators referred to both the overall career and the most recent time period &#40;the last 5 years&#44; in the case of journals&#41;&#46; On the other hand&#44; in both the Web of Science and in Scopus we can easily delimit the production time periods of the studied units&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">-</span><p id="par0075" class="elsevierStylePara elsevierViewall">Self-citation &#40;an unavoidable limitation of bibliometric indicators&#41; is not excluded&#46; However&#44; it should be noted that the impact of self-citation practices upon this indicator is smaller than in the case of other metrics such as the citation average&#44; since it only affects documents at the counting limit for the h-index&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> In any case&#44; the important issue is that we can quickly calculate the indicator with or without self-citations&#46; This can be done with both Web of Science and Scopus&#44; but not with Google Scholar&#46;</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">-</span><p id="par0080" class="elsevierStylePara elsevierViewall">The h-index is not notoriously discriminating&#44; as it takes discrete values and is usually located in a very small range for most investigators&#46; It is therefore advisable to accompany the index with other metrics capable of supplementing the information afforded by the h-index&#46;</p></li><li class="elsevierStyleListItem" id="lsti0035"><span class="elsevierStyleLabel">-</span><p id="par0085" class="elsevierStylePara elsevierViewall">It does not take into account differences in author responsibility and contribution to the publications&#46; This aspect is particularly important in biomedicine&#44; where research constitutes team effort&#8211;this in turn being reflected by the large average number of signing authors&#46; In this context&#44; and as occurs with the rest of the bibliometric indicators&#44; the h-index does not ponder the position of the authors in the chain of signatures&#8211;this commonly being used to rate the relative contributions of the different authors to a given article&#46;</p></li><li class="elsevierStyleListItem" id="lsti0040"><span class="elsevierStyleLabel">-</span><p id="par0090" class="elsevierStylePara elsevierViewall">The h-index does not take highly cited articles into account&#46; Once the limit established for the h-index has been exceeded&#44; the further citations received by a given article are regarded as irrelevant for increasing the h-index of an investigator&#46; On the other hand&#44; and as has been mentioned above&#44; this fact makes the h-index very stable over time&#44; avoiding the deviations which such highly cited articles induce in other impact indicators&#46;</p></li></ul></p><p id="par0095" class="elsevierStylePara elsevierViewall">Thus&#44; rather than measuring point successes in the course of a scientific career&#44; it can be concluded that the h-index essentially measures investigator regularity in terms of production and scientific impact&#46; Although the h-index is very easy to calculate and use&#44; it must be employed with great caution&#44; since it is never a good idea to assess the performance of an investigator or institution on the basis of a single indicator&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">The Google family&#58; Google Scholar&#44; Google Scholar Metrics and Google Scholar Citations</span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Google Scholar</span><p id="par0100" class="elsevierStylePara elsevierViewall">Google Scholar&#44; created in November 2004&#44; is an academic document &#40;articles in journals&#44; books&#44; preprints&#44; doctoral theses&#44; communications at congresses&#44; reports&#41; search tool that provides information on the number of times which a study has been cited&#44; as well as links to the citing documents&#46; Access to full text documents is possible&#44; provided the publications are freely available online&#44; or if a subscription has been obtained&#44; when accessing from a research institution&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Thanks to its excellent information retrieving capacity&#44; easy use and design along the same lines as the general Google browser&#44; Google Scholar has become an obligate resource for an important percentage of scientists seeking information&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> Some specific studies in biomedicine have shown that Google Scholar is only surpassed in terms of use by the Web of Science&#44; and presents practically the same results as PubMed&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> This same publication indicates that Google Scholar is used as a data source complementary to Web of Science or PubMed&#44; and that the users positively rate its easy use&#44; fast response and cost-free or open-access nature versus precision and quality of the results&#44; which are regarded as determinant factors in the other two mentioned data sources&#46; In the case of biomedicine&#44; different studies underscore the importance of Google Scholar in affording access to scientific information&#44; as evidenced both by editorials in the main biomedical journals<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> and by comparative studies on the exhaustiveness and precision or data retrieval with Google Scholar versus PubMed&#46;<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">18&#8211;21</span></a> In the case of Spain&#44; and as refers to the primary care setting&#44; Gonz&#225;lez de Dios et al&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> reported that 70&#37; of the primary care physicians claimed to access scientific literature through general browsers such as Google or Yahoo&#44; while only 29&#37; use specialized databases&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Google Scholar allows access to the full text version of academic works not only from the &#8220;official&#8221; sources or sites&#44; but also from repositories&#44; personal websites and alternative locations&#8211;thus affording enormous visibility of open-access material&#46; In this sense&#44; it must be mentioned that the open-access diffusion of academic material is of great help in facilitating accessibility for research and in increasing diffusion among investigators in the field&#44; as evidenced by the data corresponding to the specialty of Intensive Care Medicine&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">Furthermore&#44; ordering of the results according to relevance &#40;a criterion based mainly on the number of citations received by the articles&#41; ensures not only that the findings are pertinent to our search but that they are also scientifically relevant&#8211;at least as regards the first registries produced by the browser&#46; Such results usually consist of highly cited articles published in journals of great reputation and well known to the investigator&#46; Consequently&#44; and in addition to the ease and speed with which information is retrieved&#44; the investigator feels &#8220;comfortable&#8221; with the results obtained&#46; As shown by a recent study on the 20 first results of different clinical searches&#44; the articles retrieved by Google Scholar receive a larger number of citations and are published in journals of higher impact factor than the documents retrieved by PubMed&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a></p><p id="par0120" class="elsevierStylePara elsevierViewall">However&#44; Google Scholar has a series of limitations that must be taken into account when using it as a source of information&#46;<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">24&#44;25</span></a> The main limitation is the opaque source inclusion policy of the browser&#46; Although it is known that Google Scholar scans the information contained in the websites of universities and research institutions&#44; repositories or websites of scientific publishers&#44; we do not exactly know what these sources are or what the size or scope of the documentary base is in each case&#46; On the other hand&#44; along with research publications we can also find teaching material and even data of an administrative nature&#44; which are scantly relevant to research work&#46; Likewise&#44; the data generated by Google Scholar are not normalized in any way&#8211;this being a consequence of the broad coverage involved&#44; the variety of information sources used&#44; and automatic processing of the information&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">Comparative studies of Google Scholar versus PubMed&#44; the genuine <span class="elsevierStyleItalic">sancta sanctorum</span> of the biomedical databases&#44; show very similar results in terms of the exhaustiveness of information retrieval&#44; though performance is considered more favorable to the product of the United States National Library of Medicine when it comes to defining searches of certain complexity&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> For this reason it may be useful to employ a hybrid strategy for document retrieval&#44; using PubMed to conduct the literature search prior to any study&#44;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> and Google Scholar for identification and quick access to concrete documents&#44; or in the context of very defined searches such as articles on a topic in a given journal or by a concrete author&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">The fact that Google Scholar generates citations of indexed articles has made it a serious competitor for the traditional databases used in scientific evaluations&#46; In this context&#44; an extensive body of literature compares results on data from the Web of Science&#44; Scopus and Google Scholar&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">26&#8211;28</span></a> Authors such as Harzing and Der Wal<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> even claim that Google Scholar represents a democratization of the analysis of literature citations&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Google Scholar citations&#58; bibliometric profiles of investigators</span><p id="par0135" class="elsevierStylePara elsevierViewall">Knowing the rapid expansion of Google Scholar among scientists&#44; and aware of the needs of this sector in relation to scientific evaluation&#44; Google in July 2011 launched a new product&#58; Google Scholar Citations &#40;&#8220;Mis citas&#8221;&#44; in Spanish&#41;&#46; This service allows an investigator to automatically establish a webpage with his or her scientific profile&#44; specifying the published documents registered in Google Scholar&#44; along with the number of citations received by each of them&#8211;thereby generating a series of bibliometric indicators headed by the ever present h-index&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a> These statistics in turn are automatically updated with the new information located by Google Scholar &#40;new authored publications or new citations of previous work&#41;&#59; as a result&#44; the scientific profile is continuously kept up to date without the investigator having to intervene in any way&#46; Scholar Citations offers three bibliometric indicators&#46; In addition to the mentioned h-index&#44; it specifies the number of citations of the works published by the investigator&#44; and the i10-index&#44; i&#46;e&#46;&#44; the number of studies published by the investigator which have received more than 10 citations &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46; The mentioned indicators are calculated for both the global academic career and for the most recent period &#40;the last 6 years&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0140" class="elsevierStylePara elsevierViewall">The registry process for investigators is very simple&#58; after entering an institutional mail address and the signing names &#40;and variants&#41; we usually use&#44; Google Scholar displays the articles of which we are signing authors&#44; for confirmation or rejection purposes&#46; These articles conform the body of information from which our bibliometric data are drawn&#46; In addition&#44; the investigator can decide whether or not to make his or her profile public&#44; and can moreover edit the registries&#8211;thereby contributing to correct or normalize the information of the browser&#44; merge duplicate registries&#44; and even manually enter other works not contemplated in the academic search engine&#46; In this latter case&#44; however&#44; we do not have the number of citations received by these documents&#46; Likewise&#44; the system allows us to export the registries in the most common bibliographical formats&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">Another advantage of establishing a profile in Scholar Citations is that we can receive updates on documents of relevance to our academic interests&#46; By means of algorithms that take into account the words we use in our works and their co-authors&#44; as well as the flow of citations among articles and journals&#44; Google Scholar offers us documents suited to our scientific needs&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">On the other hand&#44; we can establish a link to co-authors who are registered in Scholar Citations with a public profile and add the key words or descriptors that best define our work&#46; This service is worth mentioning&#44; since the investigator can personally indicate the disciplines or sub-disciplines in which he or she is expert&#46; This allows the creation of a list of investigators according to the total number of citations received &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#41;&#46; In this context&#44; mention must be made of the unfortunate lack of normalization in the assignation of descriptors&#44; which allows one same concept to be represented in different ways&#46; As an example&#44; in the field of Intensive Care Medicine we can find the descriptors Critical Care&#44; Critical Care Medicine&#44; Intensive Care or Intensive Care Medicine&#44; among others&#46; Likewise&#44; it has been found that some investigators use uncommon terms with the purpose of appearing as leading specialists in a given subspecialty&#46; Another phenomenon refers to investigators with activity in more than one field of knowledge&#46; As an example&#44; it is common in bibliometrics to find scientists in fields such as physics&#44; chemistry or computer science that allow them to appear in leading positions in disciplines that do not correspond to the main body of their activity&#8211;giving rise to lists that are scantly realistic or even directly false&#46; A notorious situation in the disciplines in which the authors of the present study are specialists &#40;bibliometrics&#44; scientometrics&#41; is the presence alongside leading investigators in the field of scientists who are completely unknown to the specialists in the discipline&#46; In this sense&#44; more seriousness could be expected from Google by joining or merging descriptors that may be regarded as almost synonymous&#46; We even could suggest the use of standardized or normalized vocabularies such as the MESH headings in biomedicine&#46; In turn&#44; in the case of the investigators&#44; greater rigor in establishing links to the different disciplines would be desirable&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0155" class="elsevierStylePara elsevierViewall">From a bibliometric perspective&#44; this service has some limitations&#44; particularly the absence of the total number of publications of a given investigator&#8211;this being the most evident indicator for assessing the scientific activity of a professional&#46; Another shortcoming is the lack of indicators linked to the capacity to publish in reputed journals or diffusion media&#8211;though the introduction of Scholar Metrics possibly may overcome this defect in the short term&#44; if Google decides to integrate both products&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">Another aspect to be taken into account is possible deceitful or fraudulent behavior on the part of some authors&#46; In the same way as has been detected in relation to the disciplines and sub-disciplines to which investigators ascribe themselves&#44; it is also feasible for people to assign as their own articles which in fact have been published by others&#44; as has been well pointed out by Anne W&#46; Harzing<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a>&#8211;though such practices are easily detectable&#46; Another possibility is manipulation of the database&#44; entering false authors that inflate our registry of citations&#46; The experiments of Labbe<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a> and Delgado L&#243;pez-Cozar et al&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> show that this is feasible and simple to do&#8211;in contrast to the situation in closed and controlled environments such as the large databases of the Web of Science or Scopus&#44; where such manipulation&#44; while possible&#44; is much more complicated&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">Another uncertainty is whether the directories generated are representative of the research done in a given field&#46; Investigators with little academic impact have few incentives for creating a public profile of their own&#44; since they could face embarrassing comparisons with other colleagues who have a stronger curriculum&#46; Therefore&#44; one of the risks is the creation of a directory limited to high-impact scientists that is scantly representative of the research done in a given field&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Google Scholar metrics&#58; rankings of scientific journals</span><p id="par0170" class="elsevierStylePara elsevierViewall">In April 2012&#44; Google launched Google Scholar Metrics &#40;GSM&#41;&#44; called &#8220;Estad&#237;sticas&#8221; in Spanish&#46; This is a free and open-access bibliometric product offering the impact of scientific journals and other documental sources&#44; and which uses the h-index as ordering criterion&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">This product can be consulted in two ways&#46; A first option is to access the rankings of the 100 journals with the highest h-index according to the language in which they are published &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#41;&#46; At present&#44; 10 languages are available&#58; English&#44; Chinese&#44; Portuguese&#44; German&#44; Spanish&#44; French&#44; Korean&#44; Japanese&#44; Dutch and Italian&#8211;though in this aspect it must be pointed out that Google Scholar Metrics does not appear to be good at differentiating journals with bilingual contents&#46; Since November 2012&#44; which is when the latest upgrade on the product was launched&#44; we can also consult the first 20 publications according to their h-index in 8 areas of knowledge and corresponding to 313 disciplines&#8211;though only for journals in English&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a></p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0180" class="elsevierStylePara elsevierViewall">The second option is to use the search box to directly insert words included in the titles of the journals&#46; In this case&#44; the search is made in all the sources indexed by Google Scholar Metrics &#40;without necessarily having to rank at the top of each language or discipline&#41;&#44; with the return of a maximum of 20 results ordered according to the h-index&#46; The sources indexed in Google Scholar Metrics are those that have published at least 100 articles in the period 2007&#8211;2011 and which have received some citation &#40;i&#46;e&#46;&#44; those with an h-index of 0 are excluded&#41;&#46; This indicator covers the works published between 2007 and 2011&#44; as well as the citations received up until 15 November 2012&#46; It is therefore a static information system with regular updates&#44; though Google has not provided details on how these will be made&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">For each of the journals we can access the information on the articles that contribute to the h-index&#46; Thus&#44; for a journal with an h-index of 14&#44; as is the case of <span class="elsevierStyleItalic">Medicina Intensiva</span>&#44; Google Scholar Metrics shows us the 14 articles that have received 14 citations or more &#40;<a class="elsevierStyleCrossRef" href="#fig0020">Fig&#46; 4</a>&#41;&#46; In the same way&#44; by clicking on them&#44; we can access the citing documents&#59; it is therefore easy to analyze the sources that largely contribute to the h-index of a given journal&#46;</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0190" class="elsevierStylePara elsevierViewall">The fact that relatively large time windows are used &#40;5 years&#41; implies that the indicator will remain quite stable over time&#46; Since the h-index is an indicator of weak discriminatory capacity &#40;it takes discrete values&#44; and it is very difficult to further raise the index beyond a certain citation threshold&#41;&#44; Google has included another indicator&#8211;the median of the citations received by the articles that contribute to the h-index&#8211;as a second criterion for ordering the journals&#46;</p><p id="par0195" class="elsevierStylePara elsevierViewall">However&#44; Google Scholar Metrics has some very important limitations that make it scantly reliable when used for scientific evaluation purposes<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">34&#44;35</span></a>&#58;<ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0045"><span class="elsevierStyleLabel">-</span><p id="par0200" class="elsevierStylePara elsevierViewall">Coverage&#58; indiscriminate mixing in the rankings of documental sources as diverse as journals&#44; series and collections included in repositories&#44; databases or congress proceedings&#46;</p></li><li class="elsevierStyleListItem" id="lsti0050"><span class="elsevierStyleLabel">-</span><p id="par0205" class="elsevierStylePara elsevierViewall">Errors in citation counts&#44; due to a lack of normalization of journal titles&#44; particularly referred to journals with versions in different languages&#46;</p></li><li class="elsevierStyleListItem" id="lsti0055"><span class="elsevierStyleLabel">-</span><p id="par0210" class="elsevierStylePara elsevierViewall">Main presentation of results by languages&#44; not by scientific disciplines&#44; as is usual in products of this kind&#46; Thus&#44; comparisons are made of journals corresponding to different scientific disciplines&#44; with different production and citation patterns&#46;</p></li><li class="elsevierStyleListItem" id="lsti0060"><span class="elsevierStyleLabel">-</span><p id="par0215" class="elsevierStylePara elsevierViewall">The impossibility of searching by areas or disciplines in the journals published in languages other than English&#46; Limitation of results in the key word-based search to the 20 titles with the highest h-index&#46;</p></li><li class="elsevierStyleListItem" id="lsti0065"><span class="elsevierStyleLabel">-</span><p id="par0220" class="elsevierStylePara elsevierViewall">Insufficient citation window for evaluating publications of national impact in disciplines referred to the human and social sciences&#46;</p></li></ul></p><p id="par0225" class="elsevierStylePara elsevierViewall">Having pointed out the above limitations&#44; a positive evaluation must be made of the step taken by Google&#44; and which will facilitate consultation of the impact of journals by investigators who do not have access to the traditional citation databases&#44; which entail important economical costs&#46; In addition to offering bibliometric indicators to all investigators&#44; this situation may serve to stimulate competition among the different products&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Intensive care medicine through the h-index&#58; comparing Google Scholar&#44; Web of Science and Scopus</span><p id="par0230" class="elsevierStylePara elsevierViewall">In order to evaluate the behavior of Google Scholar and Google Scholar Metrics&#44; and to clearly visualize the differences in results compared with the traditional databases&#44; we have contrasted the h-indexes obtained in a sample of journals and of significant authors in the field of Intensive Care Medicine&#46; As measure of comparison of the positions of the journals and authors&#44; we have used the Spearman correlation coefficient &#40;rho&#41;&#8211;a statistic commonly used in bibliometric studies to measure the association between two variables based on their position in different rankings&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a></p><p id="par0235" class="elsevierStylePara elsevierViewall">The comparison has been made with the 26 journals registered in the Journal Citations Reports &#40;JCR&#41; in 2011&#44; within the category Intensive Care Medicine &#40;Critical Care Medicine&#41;&#44; based on three data sources&#58; Web of Science&#44; Scopus and Google Scholar Metrics&#46; Considering the articles published between 2007 and 2011&#44; the journals <span class="elsevierStyleItalic">American Journal of Respiratory and Critical Care Medicine</span>&#44; and <span class="elsevierStyleItalic">Chest and Critical Care Medicine</span> show the highest h-indexes&#44; independently of the data source used&#46; The mean h-index for the global 26 journals is 28 in the case of the Web of Science&#44; 32 for the journals in Scopus&#44; and 36 in the case of Google Scholar Metrics &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0240" class="elsevierStylePara elsevierViewall">This means that the data from Google Scholar Metrics are 28&#37; higher than those obtained from the Web of Science&#44; and 13&#37; higher than those contained in Scopus&#46; It should be mentioned that the data from Google Scholar Metrics count the citations received until April 2012&#44; while the calculations of the other two databases were made 6 months later&#46; As a result&#44; the percentage difference between Google Scholar Metrics and the other two databases may be somewhat underestimated&#46;</p><p id="par0245" class="elsevierStylePara elsevierViewall">On the other hand&#44; the mean h-index of the sample of journals in Intensive Care Medicine analyzed is 13&#46;5&#37; greater in Scopus than in the Web of Science &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; However&#44; comparison of the order of the journals according to their h-index based on the Spearman correlation coefficient &#40;rho&#41; shows the differences among databases to be negligible&#46; The correlation coefficient&#44; 0&#46;99 in all three cases&#44; at a significance level of 1&#37;&#44; implies that despite the quantitative differences in h-index among the databases&#44; ordering of the journals is practically the same&#44; regardless of the data source employed&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0250" class="elsevierStylePara elsevierViewall">In the same way as for the journals&#44; we have calibrated the h-index of reputed scientists in the field of Intensive Care Medicine&#46; We have taken the 20 most productive investigators in 2007&#8211;2011 within the category Intensive Care Medicine &#40;Critical Care Medicine&#41; in Web of Science&#46; To this effect&#44; we designed a search equation through the advanced search option &#40;WC<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>Critical Care Medicine AND PY<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2007&#8211;2011&#41;&#46; In this way&#44; and making use of the option Refine Results of the mentioned database&#44; we considered the most productive investigators and calculated their h-indexes in Web of Science&#44; Scopus and Google Scholar&#46; Some investigators with common names that could complicate the search process were excluded from the sample&#46; The data referred to the h-indexes of these investigators are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#46; The mean h-index is seen to be 23 in the case of Web of Science&#44; 25 for Scopus&#44; and 29 when using Google Scholar as source for the analysis&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0255" class="elsevierStylePara elsevierViewall">The differences in mean h-index among the databases are very similar to those observed in the case of the journals&#44; with values in Google Scholar almost 30&#37; higher than those in Web of Science&#44; and 16&#37; higher than in Scopus&#46; On the other hand&#44; the difference between Web of Science and Scopus&#44; favorable to the latter&#44; is a mere 10&#46;9&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0260" class="elsevierStylePara elsevierViewall">Few differences are observed in the rankings according to one variable or other&#44; though the most relevant investigator in Web of Science &#40;J&#46;B&#46; Holcomb&#41; is not the leading investigator in either Scopus or Google Scholar &#40;R&#46; Bellomo&#41;&#46; The Spearman correlation coefficient &#40;rho&#41; is very high among the three data sources&#44; particularly between Scopus and Google Scholar &#40;0&#46;968&#41;&#44; at a significance level of 1&#37;&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Discussion</span><p id="par0265" class="elsevierStylePara elsevierViewall">At present we have many ways to evaluate research on the basis of bibliometric parameters&#44; and different data sources are available for this purpose&#46; As a result&#44; the impact factor and ISI Web of Science no longer monopolize these evaluating functions&#46; Indicators such as the h-index or databases and products such as those offered by Google are only some of the most recognizable examples of the existing alternatives&#46;</p><p id="par0270" class="elsevierStylePara elsevierViewall">The h-index above all is an indicator used to assess the scientific trajectory of an investigator&#44; measuring his or her regularity in terms of scientific productivity and impact&#46; It can also be used to measure the performance of journals and institutions&#44; though in this case it is advisable to confine calculation of the index to limited periods of time&#46; Despite its very easy calculation and use&#44; and its solidness and tolerance of statistical deviations&#44; the h-index must be used with great caution&#44; and in any case measures and controls must be adopted to neutralize or minimize its sources of bias&#46; One of these controls&#44; in the case of biomedicine&#44; would be to always perform comparisons within one same discipline&#44; and in the case of investigators&#44; to consider scientific careers of similar duration or apply some normalization criterion according to the years of research trajectory or the academic position held&#46; Likewise&#44; it must be stressed that it is never a good idea to measure the performance of an investigator or institution with a single indicator&#46; In this sense&#44; it is advisable to use a battery of indicators in evaluative processes based on bibliometric parameters&#8211;if possible&#44; in conjunction with expert counseling of specialists in the corresponding scientific field&#46;</p><p id="par0275" class="elsevierStylePara elsevierViewall">It must be made clear that use of the h-index does not mean that the impact factor is no longer applicable as a scientific quality indicator&#46; It is a good marker for measuring difficulties and barriers in accessing a given scientific journal&#44; and for evaluating its impact&#46; In the case of Medicine&#44; it is essential for investigators to publish their work in journals with an impact factor&#44; since the latter remains the gold standard for assessing the ranking of scientific journals&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a> In this context&#44; journals with higher impact factors receive larger numbers of manuscript submissions&#44; and are obliged to reject many of them&#46; Authors therefore have to compete among each other for publication in these journals&#46; For this reason the impact factor can be regarded as a competitivity indicator&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">38</span></a> A good example is provided by this same journal &#40;<span class="elsevierStyleItalic">Medicina Intensiva</span>&#41;&#44; which saw a 200&#37; increase in the number of original manuscripts received after obtaining its first impact factor&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">39</span></a> This phenomenon shows that the scientific community tends to regulate itself&#44; since the leading journals in turn incorporate more exhaustive and demanding controls&#8211;allowing publication only by the more prominent members of the scientific community&#46; Logically&#44; this does not prevent such journals from also publishing works of limited value or usefulness for investigators&#44; but in this case such studies represent a significantly lesser percentage than in the case of journals that have no impact factor&#46; For this reason it is also advisable to remember that the impact factor of a journal is not representative of the impact of the articles that are published in it&#46; Believing that a given work&#44; the authors signing it&#44; and the institution behind it &#8220;inherit&#8221; the impact factor of the journal in which it has been published is a widespread and mistaken practice&#8211;particularly among Spanish investigators&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p><p id="par0280" class="elsevierStylePara elsevierViewall">In sum&#44; it is important to take into account that all bibliometric indicators have limitations&#44; and that we should avoid using a single criterion for the evaluation of research&#59; rather&#44; a series of indicators should be used in order to ensure rigorous and fair assessments&#46;</p><p id="par0285" class="elsevierStylePara elsevierViewall">Regarding the use of Google Scholar as a source of scientific information&#44; we can conclude that it is a serious alternative to the traditional databases&#46; The browser developed by Google offers results similar to those of other data sources&#44; and may be preferable for establishing a first documental approach to a given topic&#44; or for locating certain literature references&#46; However&#44; in biomedicine it is still preferable to make use of the controlled environment afforded by specialized services such as PubMed&#44; with journals and contents validated by the scientific community&#46;</p><p id="par0290" class="elsevierStylePara elsevierViewall">In turn&#44; although Google Scholar Citations and Google Scholar Metrics &#40;the products derived from Google Scholar&#41; pose problems associated with the lack of normalization of the browser&#44; they offer fast and cost-free bibliometric information of great value&#44; referred to the performance of both individual investigators and scientific journals&#46; This undoubtedly is of help in familiarizing investigators with the bibliometric indicators and with their use in the evaluation of scientific activity&#46;</p><p id="par0295" class="elsevierStylePara elsevierViewall">A surprising observation on comparing the bibliometric data offered by Google Scholar with the traditional bibliometric databases Web of Science and Scopus&#44; considering both investigators and journals&#44; is that the results are practically identical&#44; at least in Intensive Care Medicine&#46; There is no disparity in the rankings obtained&#58; all three systems coincide in identifying the most relevant and influencing authors and journals&#46; The only differences refer to scale and size&#58; Google Scholar retrieves more citations than Scopus&#44; and the latter in turn retrieves more citations than the Web of Science&#46;</p><p id="par0300" class="elsevierStylePara elsevierViewall">Beyond the technical aspects&#44; it is true that there are two important differences&#46; The first is of a conceptual nature&#46; Scientific ethics demands prior controls to certify and validate the generation and diffusion of knowledge&#44; i&#46;e&#46; it demands controlled settings&#46; In this context&#44; Google Scholar works in an uncontrolled environment&#44; since it processes all the scientific information it is able to capture on the Internet&#44; regardless of how it is produced and communicated&#46; In this sense&#44; the new information sources are in stark contrast to the traditional databases that exclusively rely on filtered and screened scientific sources &#40;journals and congresses&#41; with the most rigorous scientific controls&#46; However&#44; to the effects of scientific evaluation&#44; control or the lack of control makes no difference&#46; The other mentioned difference refers to economical considerations&#44; since the price to pay for one source or other is not the same&#46; In this context&#44; while Google Scholar is a free and open-access service&#44; the multidisciplinary databases represent great costs for the research institutions&#44; and the licenses are moreover very restrictive&#46;</p><p id="par0305" class="elsevierStylePara elsevierViewall">In conclusion&#44; while the impact factor introduced the evaluation of scientific performance in the academic world&#44; and Google popularized the access to information scientific&#44; the h-index and bibliometric tools derived from Google Scholar have further extended scientific evaluation&#44; making the retrieval of academic information and the calculation of bibliometric indicators more accessible&#46; In sum&#44; the great novelty of these last few years has been the fact that these products are no longer restricted to specialists and are now open to any investigator&#44; thanks to the ease with which these metrics are calculated and the free and open access allowed by the new tools&#8211;giving rise to what may be regarded as a kind of popularization of scientific evaluation&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Financial support</span><p id="par0310" class="elsevierStylePara elsevierViewall">This study was supported by project HAR2011-30383-C02-02 of the General Research and Management Board of the National R&#38;D and Innovation Plan&#44; Spanish Ministry of Economy&#46;</p><p id="par0315" class="elsevierStylePara elsevierViewall">The funding sources have not participated in the design of the study&#44; in data collection&#44; analysis or interpretation&#44; in drafting of the manuscript&#44; or in the decision to submit the study for publication&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Conflicts of interest</span><p id="par0320" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest&#46;</p></span></span>"
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          "titulo" => "The h-index&#58; a new bibliometric indicator for measuring scientific performance"
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          "titulo" => "The Google family&#58; Google Scholar&#44; Google Scholar Metrics and Google Scholar Citations"
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              "identificador" => "sec0020"
              "titulo" => "Google Scholar"
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              "titulo" => "Google Scholar citations&#58; bibliometric profiles of investigators"
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              "titulo" => "Google Scholar metrics&#58; rankings of scientific journals"
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          "titulo" => "Intensive care medicine through the h-index&#58; comparing Google Scholar&#44; Web of Science and Scopus"
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          "titulo" => "Discussion"
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            0 => "Research evaluation"
            1 => "Bibliometrics"
            2 => "h-Index"
            3 => "Citation analysis"
            4 => "Periodicals"
            5 => "Databases&#44; Bibliographic"
            6 => "Google Scholar"
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            4 => "Revistas cient&#237;ficas"
            5 => "Bases de datos bibliogr&#225;ficas"
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        "titulo" => "Abstract"
        "resumen" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The aim of this study is to review the features&#44; benefits and limitations of the new scientific evaluation products derived from Google Scholar&#44; such as Google Scholar Metrics and Google Scholar Citations&#44; as well as the h-index&#44; which is the standard bibliometric indicator adopted by these services&#46; The study also outlines the potential of this new database as a source for studies in Biomedicine&#44; and compares the h-index obtained by the most relevant journals and researchers in the field of intensive care medicine&#44; based on data extracted from the Web of Science&#44; Scopus and Google Scholar&#46; Results show that although the average h-index values in Google Scholar are almost 30&#37; higher than those obtained in Web of Science&#44; and about 15&#37; higher than those collected by Scopus&#44; there are no substantial changes in the rankings generated from one data source or the other&#46; Despite some technical problems&#44; it is concluded that Google Scholar is a valid tool for researchers in Health Sciences&#44; both for purposes of information retrieval and for the computation of bibliometric indicators&#46;</p>"
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        "resumen" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">El objetivo de este art&#237;culo es hacer una revisi&#243;n de las caracter&#237;sticas&#44; prestaciones y limitaciones de los nuevos productos de evaluaci&#243;n cient&#237;fica derivados de Google Scholar&#44; como son Google Scholar Metrics y Google Scholar Citations&#44; y del &#237;ndice h&#44; el indicador bibliom&#233;trico adoptado como est&#225;ndar por estos servicios&#46; Asimismo se rese&#241;a la potencialidad de esta nueva base de datos como fuente para estudios en biomedicina y se realiza una comparaci&#243;n del &#237;ndice h obtenido por las revistas e investigadores m&#225;s relevantes en el &#225;mbito de la medicina intensiva&#44; a partir de los datos extra&#237;dos de Web of Science&#44; Scopus y Google Scholar&#46; Los resultados muestran que&#44; pese a que los valores medios de &#237;ndice h en Google Scholar son casi un 30&#37; m&#225;s elevados que los obtenidos en Web of Science y en torno a un 15&#37; m&#225;s altos que los recogidos por Scopus&#44; no hay variaciones sustantivas en las clasificaciones generadas a partir de una u otra fuente de datos&#46; Aunque existen algunos problemas t&#233;cnicos&#44; se concluye que Google Scholar es una herramienta v&#225;lida para los investigadores en ciencias de la salud&#44; tanto a efectos de recuperaci&#243;n de informaci&#243;n como de cara a la extracci&#243;n de indicadores bibliom&#233;tricos&#46;</p>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Please cite this article as&#58; Cabezas-Clavijo A&#44; Delgado-L&#243;pez-C&#243;zar E&#46; Google Scholar e &#237;ndice h en biomedicina&#58; la popularizaci&#243;n de la evaluaci&#243;n bibliom&#233;trica&#46; Med Intensiva&#46; 2013&#59;37&#58;343&#8211;354&#46;</p>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0025"><span class="elsevierStyleInterRef" id="intr0010" href="http://sci2s.ugr.es/hindex/biblio.php">http&#58;&#47;&#47;sci2s&#46;ugr&#46;es&#47;hindex&#47;biblio&#46;php</span>&#46;</p>"
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          "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Profile of an investigator in Google Scholar Citations&#46;</p>"
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          "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Investigators with the largest number of citations in Google Scholar Citations&#44; linked to the descriptor Intensive Care Medicine &#40;Critical Care&#41;&#46;</p>"
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          "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Lists of publications with the highest h-indexes in Spanish &#40;2007&#8211;2011&#41;&#44; according to Google Scholar Metrics&#46;</p>"
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          "leyenda" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Source&#58; Google Scholar Metrics data&#44; taken from <span class="elsevierStyleInterRef" id="intr0005" href="http://scholar.google.com/citations%3Fview_op=top_venues">http&#58;&#47;&#47;scholar&#46;google&#46;com&#47;citations&#63;view&#95;op&#61;top&#95;venues</span> &#40;number of citations updated to 1 April 2012&#41;&#46; Data from Web of Science and Scopus compiled on 26 September 2012&#46;</p>"
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                  \t\t\t\t">8&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">23&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Anasthesiologie und Intensivmedizin</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Medicina Intensiva</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">10&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">An&#228;sthesiologie&#44; Intensivmedizin&#44; Notfallmedizin&#44; Schmerztherapie</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Promedio&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                0 => "xTab399775.png"
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          "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">h-Indexes of journals in intensive care medicine &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>26&#41; according to the Web of Science&#44; Scopus and Google Scholar Metrics &#40;2007&#8211;2011&#41;&#46;</p>"
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          "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Difference in h-index&#58; percentage differences in the mean h-indexes between databases&#46; The database with the largest mean h-index appears in parentheses&#46; No&#46;&#58; journals&#59; rho&#58; Spearman correlation coefficient&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Source&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">No&#46;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Rho<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Difference in h-index&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOS-SCOPUS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;994&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#43;13&#46;5&#37; &#40;SCOPUS&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOS-GSM&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;989&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#43;28&#46;2&#37; &#40;GSM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">SCOPUS-GSM&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;994&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#43;12&#46;9&#37; &#40;GSM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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                0 => "xTab399777.png"
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            0 => array:3 [
              "identificador" => "tblfn0005"
              "etiqueta" => "a"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Since Google Scholar Metrics contains a journal for which no data are available&#44; the statistical analysis is performed on 25 journals in the case of this database&#44; instead of on the 26 journals of the analysis in the WOS-Scopus comparison&#46;</p>"
            ]
            1 => array:3 [
              "identificador" => "tblfn0010"
              "etiqueta" => "b"
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            ]
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Comparison of the h-indexes of journals in intensive care medicine according to databases&#46;</p>"
        ]
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      6 => array:7 [
        "identificador" => "tbl0015"
        "etiqueta" => "Table 3"
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        "mostrarDisplay" => false
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Data compiled on 28 September 2012&#46;</p>"
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Investigator&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="3" align="center" valign="\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">h-Index</td><td class="td" title="\n
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                  \t\t\t\t  " colspan="3" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Ranking</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">WOS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Scopus&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">GS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">WOS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Scopus&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">GS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Holcomb JB&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">37&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">Bellomo R&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Matthay MA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Rello J&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Angus DC&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Reinhart K&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Moore EE&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Kollef MH&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Azoulay E&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Wade CE&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Kellum JA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Ely EW&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Scalea TM&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">Giannoudis PV&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Gajic O&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">Demetriades D&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Sprung CL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Promedio&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab399774.png"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">h-Indexes of leading investigators in intensive care medicine &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>20&#41; according to the Web of Science&#44; Scopus and Google Scholar &#40;2007&#8211;2011&#41;&#46;</p>"
        ]
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      7 => array:7 [
        "identificador" => "tbl0020"
        "etiqueta" => "Table 4"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Difference in h-index&#58; percentage differences in the mean h-indexes between databases&#46; The database with the largest mean h-index appears in parentheses&#46; No&#46;&#58; journals&#59; rho&#58; Spearman correlation coefficient&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
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                0 => """
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                  \t\t\t\t" style="border-bottom: 2px solid black">Rho<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
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Review
Google Scholar and the h-index in biomedicine: The popularization of bibliometric assessment
Google Scholar e índice h en biomedicina: la popularización de la evaluación bibliométrica
A. Cabezas-Clavijo, E. Delgado-López-Cózar
Corresponding author
edelgado@ugr.es

Corresponding author.
EC3: Evaluación de la Ciencia y de la Comunicación Científica, Departamento de Información y Comunicación, Facultad de Comunicación y Documentación, Universidad de Granada, Granada, Spain
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">From the perspective of the evaluation of science and of scientific communication&#44; the opening years of the XXI century have witnessed the birth of new tools destined to supplement&#44; if not to replace&#44; the traditional databases offering access to scientific information&#44; such as PubMed&#44; Web of Science &#40;WOS&#41; or Scopus&#44; and the established bibliometric indicators headed by the impact factor&#46; In this context&#44; the new scientific evaluation and access tools examined in the present study &#40;h-index and the Google Scholar family&#41; have popularized access to scientific information and the evaluation of research&#46; The mentioned tools are simple and easy to use and understand&#44; and can be freely accessed at no charge&#59; these features have caused them to gain acceptance in scientific circles at a tremendous pace&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">The aim of this article is to review the characteristics of the novel scientific evaluation systems auspiced by Google on the basis of Google Scholar &#40;Scholar Metrics&#44; Scholar Citations&#41; and the h-index &#40;the standard bibliometric indicator adopted by these services&#41;&#46; In addition&#44; a comparison is made of the indicators offered by these products with respect to those afforded by the already established Web of Science and Scopus tools &#8211; taking as study case the most relevant journals and investigators in the field of Intensive Care Medicine&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">The h-index&#58; a new bibliometric indicator for measuring scientific performance</span><p id="par0015" class="elsevierStylePara elsevierViewall">The impact factor was originally introduced in the 1970s by Eugene Garfield with the purpose of selecting journals for library collections under the assumption that the most cited journals would also be the most useful for investigators&#46; Developed on the basis of the famed Citation Indexes &#40;Science Citation Index&#44; Social Sciences Citation Index&#44; now forming part of the ISI Web of Science&#41;&#44; acceptance of the impact factor far exceeded the expectations of its creator&#44; and it soon became the gold standard for evaluation&#44; most particularly in the field of biomedicine&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Abuses in the application of this indicator have been denounced for years&#44;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2</span></a> and recently it has received criticism both due to the way in which it is calculated and because of its indiscriminate application in evaluative processes&#44;<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3&#8211;5</span></a> particularly referred to the rating of individual investigator performance&#8211;a practice which&#44; as was already pointed out by Eugene Garfield years ago&#44; is clearly inappropriate&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">The h-index was created in the context of the mentioned search for valid indicators for measuring individual performance&#46; Developed by Jorge Hirsch in August 2005&#44; the novel proposal of the Argentinean physicist condenses the quantitative &#40;production&#41; and qualitative dimensions &#40;citations&#41; of research in a single indicator&#8211;this having been a classical aspiration in bibliometrics&#46; A given scientist has an index of &#8220;h&#8221; when &#8220;h&#8221; of his or her articles has received at least &#8220;h&#8221; citations each&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> In other words&#44; an investigator with an h-index of 30 has published 30 articles with at least 30 citations each&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">The new indicator generated extraordinary interest among specialists in bibliometrics&#44; who soon started to discuss its advantages and inconveniences&#44; and to offer alternatives&#46; This gave rise to an enormous number of publications&#8211;to the point whereby in the year 2011 more than 800 articles on the h-index had been published&#46;<a class="elsevierStyleCrossRef" href="#fn0005"><span class="elsevierStyleSup">&#8224;</span></a> Apart from the many variants proposed to overcome its limitations &#40;g&#44; e&#44; hc&#44; hg&#44; y&#44; v&#44; f&#44; ch&#44; hi&#44; hm&#44; AWCR&#44; AWCRpA&#44; AW&#44; etc&#46;&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> the h-index has expanded from the evaluation of investigators &#40;its original purpose&#41; to the assessment of institutions&#44;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> countries<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> and scientific journals&#46;<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11&#44;12</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">Support of the new metrics came from the core databases in bibliometrics&#44; Web of Science and Scopus&#44; which immediately incorporated it to its set of indicators - facilitating consultation at all levels of aggregation&#46; Definitive consolidation in turn was facilitated by Google upon incorporating the tool to the two scientific evaluation products derived from its academic browser&#58; Google Scholar Metrics&#44; for journals&#44; and Google Scholar Citations&#44; for investigators&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The h-index has left its mark among many scientists as the definitive indicator for measuring the impact of their investigations&#46; In general terms&#44; it has been very well received by the scientific community&#44; since it is easy to calculate and is able to evaluate investigators using a single number&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The h-index is characterized by progressiveness and robustness&#44; as well as tolerance of statistical deviations and error&#46; It is a progressive marker that can only increase in the course of the career of a scientist&#44; and increasing current values are associated to exponential growth of the difficulty of reaching even higher values&#46; This confers robustness&#44; since the h-index of an investigator either increases in a sustained manner over time or remains stable&#8211;thus allowing us to evaluate the trajectory of the author beyond only widely cited point publications&#46; This likewise protects the indicator from the possible citation or literature search errors commonly found in commercial databases&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Nevertheless&#44; this measure&#44; in the same way as with all the bibliometric indicators&#44; is not without some limitations&#58;<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">-</span><p id="par0055" class="elsevierStylePara elsevierViewall">For adequate calculation of the h-index&#44; we should have an exhaustive information system or database containing all the publications and citations associated with a given investigator&#46; While this is currently elusive&#44; considering the existing overabundance of scientific information&#44; it is essential to take into account that the indicator obtained is directly proportional to the coverage and quality of the database used&#46; In this sense&#44; and as will be seen further below&#44; the h-index varies according to the database used &#40;Google Scholar&#44; Web of Science&#44; Scopus&#41;&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">-</span><p id="par0060" class="elsevierStylePara elsevierViewall">The h-index is affected by the scientific production of the unit studied &#40;organization&#44; journal&#44; investigator&#41;&#46; Units with greater scientific production may have higher h-indexes&#44; thereby penalizing procedures based on selective publication strategies&#46;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a></p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">-</span><p id="par0065" class="elsevierStylePara elsevierViewall">The h-index is not valid for comparing investigators from different areas&#44; due to the different production and citation patterns of the different disciplines&#46; This is a limitation inherent to all bibliometric indicators&#44; and can only be overcome by adopting the following principle&#58; compare what is effectively comparable&#59; never compare the h-indexes or impact factors of different disciplines or specialties&#44; since the sizes of the corresponding scientific communities and their behavior in terms of production and citation differ considerably&#46; As an example&#44; in the year 2011&#44; the journal with the greatest impact in Intensive Care Medicine had an impact factor of 11&#46;080&#44; while in Neurology the leading journal had an impact factor of 30&#46;445&#8211;this in no way implying that the former publication is less relevant than the latter&#46; It is also known that clinical journals reach more modest values than journals in basic areas&#44; and that reviews draw a larger number of citations than original papers&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> These are only some examples of the limitations inherent to the impact factor&#46;</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">-</span><p id="par0070" class="elsevierStylePara elsevierViewall">It is not appropriate to compare junior investigators&#44; with scant production&#44; versus veteran authors with a long scientific trajectory&#46; In order to avoid this problem&#44; it is advisable to compare indicators within similar time windows&#46; Google Scholar has adopted this perspective&#44; offering the indicator for individual investigators referred to both the overall career and the most recent time period &#40;the last 5 years&#44; in the case of journals&#41;&#46; On the other hand&#44; in both the Web of Science and in Scopus we can easily delimit the production time periods of the studied units&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">-</span><p id="par0075" class="elsevierStylePara elsevierViewall">Self-citation &#40;an unavoidable limitation of bibliometric indicators&#41; is not excluded&#46; However&#44; it should be noted that the impact of self-citation practices upon this indicator is smaller than in the case of other metrics such as the citation average&#44; since it only affects documents at the counting limit for the h-index&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> In any case&#44; the important issue is that we can quickly calculate the indicator with or without self-citations&#46; This can be done with both Web of Science and Scopus&#44; but not with Google Scholar&#46;</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">-</span><p id="par0080" class="elsevierStylePara elsevierViewall">The h-index is not notoriously discriminating&#44; as it takes discrete values and is usually located in a very small range for most investigators&#46; It is therefore advisable to accompany the index with other metrics capable of supplementing the information afforded by the h-index&#46;</p></li><li class="elsevierStyleListItem" id="lsti0035"><span class="elsevierStyleLabel">-</span><p id="par0085" class="elsevierStylePara elsevierViewall">It does not take into account differences in author responsibility and contribution to the publications&#46; This aspect is particularly important in biomedicine&#44; where research constitutes team effort&#8211;this in turn being reflected by the large average number of signing authors&#46; In this context&#44; and as occurs with the rest of the bibliometric indicators&#44; the h-index does not ponder the position of the authors in the chain of signatures&#8211;this commonly being used to rate the relative contributions of the different authors to a given article&#46;</p></li><li class="elsevierStyleListItem" id="lsti0040"><span class="elsevierStyleLabel">-</span><p id="par0090" class="elsevierStylePara elsevierViewall">The h-index does not take highly cited articles into account&#46; Once the limit established for the h-index has been exceeded&#44; the further citations received by a given article are regarded as irrelevant for increasing the h-index of an investigator&#46; On the other hand&#44; and as has been mentioned above&#44; this fact makes the h-index very stable over time&#44; avoiding the deviations which such highly cited articles induce in other impact indicators&#46;</p></li></ul></p><p id="par0095" class="elsevierStylePara elsevierViewall">Thus&#44; rather than measuring point successes in the course of a scientific career&#44; it can be concluded that the h-index essentially measures investigator regularity in terms of production and scientific impact&#46; Although the h-index is very easy to calculate and use&#44; it must be employed with great caution&#44; since it is never a good idea to assess the performance of an investigator or institution on the basis of a single indicator&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">The Google family&#58; Google Scholar&#44; Google Scholar Metrics and Google Scholar Citations</span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Google Scholar</span><p id="par0100" class="elsevierStylePara elsevierViewall">Google Scholar&#44; created in November 2004&#44; is an academic document &#40;articles in journals&#44; books&#44; preprints&#44; doctoral theses&#44; communications at congresses&#44; reports&#41; search tool that provides information on the number of times which a study has been cited&#44; as well as links to the citing documents&#46; Access to full text documents is possible&#44; provided the publications are freely available online&#44; or if a subscription has been obtained&#44; when accessing from a research institution&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Thanks to its excellent information retrieving capacity&#44; easy use and design along the same lines as the general Google browser&#44; Google Scholar has become an obligate resource for an important percentage of scientists seeking information&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> Some specific studies in biomedicine have shown that Google Scholar is only surpassed in terms of use by the Web of Science&#44; and presents practically the same results as PubMed&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> This same publication indicates that Google Scholar is used as a data source complementary to Web of Science or PubMed&#44; and that the users positively rate its easy use&#44; fast response and cost-free or open-access nature versus precision and quality of the results&#44; which are regarded as determinant factors in the other two mentioned data sources&#46; In the case of biomedicine&#44; different studies underscore the importance of Google Scholar in affording access to scientific information&#44; as evidenced both by editorials in the main biomedical journals<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> and by comparative studies on the exhaustiveness and precision or data retrieval with Google Scholar versus PubMed&#46;<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">18&#8211;21</span></a> In the case of Spain&#44; and as refers to the primary care setting&#44; Gonz&#225;lez de Dios et al&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> reported that 70&#37; of the primary care physicians claimed to access scientific literature through general browsers such as Google or Yahoo&#44; while only 29&#37; use specialized databases&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Google Scholar allows access to the full text version of academic works not only from the &#8220;official&#8221; sources or sites&#44; but also from repositories&#44; personal websites and alternative locations&#8211;thus affording enormous visibility of open-access material&#46; In this sense&#44; it must be mentioned that the open-access diffusion of academic material is of great help in facilitating accessibility for research and in increasing diffusion among investigators in the field&#44; as evidenced by the data corresponding to the specialty of Intensive Care Medicine&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">Furthermore&#44; ordering of the results according to relevance &#40;a criterion based mainly on the number of citations received by the articles&#41; ensures not only that the findings are pertinent to our search but that they are also scientifically relevant&#8211;at least as regards the first registries produced by the browser&#46; Such results usually consist of highly cited articles published in journals of great reputation and well known to the investigator&#46; Consequently&#44; and in addition to the ease and speed with which information is retrieved&#44; the investigator feels &#8220;comfortable&#8221; with the results obtained&#46; As shown by a recent study on the 20 first results of different clinical searches&#44; the articles retrieved by Google Scholar receive a larger number of citations and are published in journals of higher impact factor than the documents retrieved by PubMed&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a></p><p id="par0120" class="elsevierStylePara elsevierViewall">However&#44; Google Scholar has a series of limitations that must be taken into account when using it as a source of information&#46;<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">24&#44;25</span></a> The main limitation is the opaque source inclusion policy of the browser&#46; Although it is known that Google Scholar scans the information contained in the websites of universities and research institutions&#44; repositories or websites of scientific publishers&#44; we do not exactly know what these sources are or what the size or scope of the documentary base is in each case&#46; On the other hand&#44; along with research publications we can also find teaching material and even data of an administrative nature&#44; which are scantly relevant to research work&#46; Likewise&#44; the data generated by Google Scholar are not normalized in any way&#8211;this being a consequence of the broad coverage involved&#44; the variety of information sources used&#44; and automatic processing of the information&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">Comparative studies of Google Scholar versus PubMed&#44; the genuine <span class="elsevierStyleItalic">sancta sanctorum</span> of the biomedical databases&#44; show very similar results in terms of the exhaustiveness of information retrieval&#44; though performance is considered more favorable to the product of the United States National Library of Medicine when it comes to defining searches of certain complexity&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> For this reason it may be useful to employ a hybrid strategy for document retrieval&#44; using PubMed to conduct the literature search prior to any study&#44;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> and Google Scholar for identification and quick access to concrete documents&#44; or in the context of very defined searches such as articles on a topic in a given journal or by a concrete author&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">The fact that Google Scholar generates citations of indexed articles has made it a serious competitor for the traditional databases used in scientific evaluations&#46; In this context&#44; an extensive body of literature compares results on data from the Web of Science&#44; Scopus and Google Scholar&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">26&#8211;28</span></a> Authors such as Harzing and Der Wal<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> even claim that Google Scholar represents a democratization of the analysis of literature citations&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Google Scholar citations&#58; bibliometric profiles of investigators</span><p id="par0135" class="elsevierStylePara elsevierViewall">Knowing the rapid expansion of Google Scholar among scientists&#44; and aware of the needs of this sector in relation to scientific evaluation&#44; Google in July 2011 launched a new product&#58; Google Scholar Citations &#40;&#8220;Mis citas&#8221;&#44; in Spanish&#41;&#46; This service allows an investigator to automatically establish a webpage with his or her scientific profile&#44; specifying the published documents registered in Google Scholar&#44; along with the number of citations received by each of them&#8211;thereby generating a series of bibliometric indicators headed by the ever present h-index&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a> These statistics in turn are automatically updated with the new information located by Google Scholar &#40;new authored publications or new citations of previous work&#41;&#59; as a result&#44; the scientific profile is continuously kept up to date without the investigator having to intervene in any way&#46; Scholar Citations offers three bibliometric indicators&#46; In addition to the mentioned h-index&#44; it specifies the number of citations of the works published by the investigator&#44; and the i10-index&#44; i&#46;e&#46;&#44; the number of studies published by the investigator which have received more than 10 citations &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46; The mentioned indicators are calculated for both the global academic career and for the most recent period &#40;the last 6 years&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0140" class="elsevierStylePara elsevierViewall">The registry process for investigators is very simple&#58; after entering an institutional mail address and the signing names &#40;and variants&#41; we usually use&#44; Google Scholar displays the articles of which we are signing authors&#44; for confirmation or rejection purposes&#46; These articles conform the body of information from which our bibliometric data are drawn&#46; In addition&#44; the investigator can decide whether or not to make his or her profile public&#44; and can moreover edit the registries&#8211;thereby contributing to correct or normalize the information of the browser&#44; merge duplicate registries&#44; and even manually enter other works not contemplated in the academic search engine&#46; In this latter case&#44; however&#44; we do not have the number of citations received by these documents&#46; Likewise&#44; the system allows us to export the registries in the most common bibliographical formats&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">Another advantage of establishing a profile in Scholar Citations is that we can receive updates on documents of relevance to our academic interests&#46; By means of algorithms that take into account the words we use in our works and their co-authors&#44; as well as the flow of citations among articles and journals&#44; Google Scholar offers us documents suited to our scientific needs&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">On the other hand&#44; we can establish a link to co-authors who are registered in Scholar Citations with a public profile and add the key words or descriptors that best define our work&#46; This service is worth mentioning&#44; since the investigator can personally indicate the disciplines or sub-disciplines in which he or she is expert&#46; This allows the creation of a list of investigators according to the total number of citations received &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#41;&#46; In this context&#44; mention must be made of the unfortunate lack of normalization in the assignation of descriptors&#44; which allows one same concept to be represented in different ways&#46; As an example&#44; in the field of Intensive Care Medicine we can find the descriptors Critical Care&#44; Critical Care Medicine&#44; Intensive Care or Intensive Care Medicine&#44; among others&#46; Likewise&#44; it has been found that some investigators use uncommon terms with the purpose of appearing as leading specialists in a given subspecialty&#46; Another phenomenon refers to investigators with activity in more than one field of knowledge&#46; As an example&#44; it is common in bibliometrics to find scientists in fields such as physics&#44; chemistry or computer science that allow them to appear in leading positions in disciplines that do not correspond to the main body of their activity&#8211;giving rise to lists that are scantly realistic or even directly false&#46; A notorious situation in the disciplines in which the authors of the present study are specialists &#40;bibliometrics&#44; scientometrics&#41; is the presence alongside leading investigators in the field of scientists who are completely unknown to the specialists in the discipline&#46; In this sense&#44; more seriousness could be expected from Google by joining or merging descriptors that may be regarded as almost synonymous&#46; We even could suggest the use of standardized or normalized vocabularies such as the MESH headings in biomedicine&#46; In turn&#44; in the case of the investigators&#44; greater rigor in establishing links to the different disciplines would be desirable&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0155" class="elsevierStylePara elsevierViewall">From a bibliometric perspective&#44; this service has some limitations&#44; particularly the absence of the total number of publications of a given investigator&#8211;this being the most evident indicator for assessing the scientific activity of a professional&#46; Another shortcoming is the lack of indicators linked to the capacity to publish in reputed journals or diffusion media&#8211;though the introduction of Scholar Metrics possibly may overcome this defect in the short term&#44; if Google decides to integrate both products&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">Another aspect to be taken into account is possible deceitful or fraudulent behavior on the part of some authors&#46; In the same way as has been detected in relation to the disciplines and sub-disciplines to which investigators ascribe themselves&#44; it is also feasible for people to assign as their own articles which in fact have been published by others&#44; as has been well pointed out by Anne W&#46; Harzing<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a>&#8211;though such practices are easily detectable&#46; Another possibility is manipulation of the database&#44; entering false authors that inflate our registry of citations&#46; The experiments of Labbe<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a> and Delgado L&#243;pez-Cozar et al&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> show that this is feasible and simple to do&#8211;in contrast to the situation in closed and controlled environments such as the large databases of the Web of Science or Scopus&#44; where such manipulation&#44; while possible&#44; is much more complicated&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">Another uncertainty is whether the directories generated are representative of the research done in a given field&#46; Investigators with little academic impact have few incentives for creating a public profile of their own&#44; since they could face embarrassing comparisons with other colleagues who have a stronger curriculum&#46; Therefore&#44; one of the risks is the creation of a directory limited to high-impact scientists that is scantly representative of the research done in a given field&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Google Scholar metrics&#58; rankings of scientific journals</span><p id="par0170" class="elsevierStylePara elsevierViewall">In April 2012&#44; Google launched Google Scholar Metrics &#40;GSM&#41;&#44; called &#8220;Estad&#237;sticas&#8221; in Spanish&#46; This is a free and open-access bibliometric product offering the impact of scientific journals and other documental sources&#44; and which uses the h-index as ordering criterion&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">This product can be consulted in two ways&#46; A first option is to access the rankings of the 100 journals with the highest h-index according to the language in which they are published &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#41;&#46; At present&#44; 10 languages are available&#58; English&#44; Chinese&#44; Portuguese&#44; German&#44; Spanish&#44; French&#44; Korean&#44; Japanese&#44; Dutch and Italian&#8211;though in this aspect it must be pointed out that Google Scholar Metrics does not appear to be good at differentiating journals with bilingual contents&#46; Since November 2012&#44; which is when the latest upgrade on the product was launched&#44; we can also consult the first 20 publications according to their h-index in 8 areas of knowledge and corresponding to 313 disciplines&#8211;though only for journals in English&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a></p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0180" class="elsevierStylePara elsevierViewall">The second option is to use the search box to directly insert words included in the titles of the journals&#46; In this case&#44; the search is made in all the sources indexed by Google Scholar Metrics &#40;without necessarily having to rank at the top of each language or discipline&#41;&#44; with the return of a maximum of 20 results ordered according to the h-index&#46; The sources indexed in Google Scholar Metrics are those that have published at least 100 articles in the period 2007&#8211;2011 and which have received some citation &#40;i&#46;e&#46;&#44; those with an h-index of 0 are excluded&#41;&#46; This indicator covers the works published between 2007 and 2011&#44; as well as the citations received up until 15 November 2012&#46; It is therefore a static information system with regular updates&#44; though Google has not provided details on how these will be made&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">For each of the journals we can access the information on the articles that contribute to the h-index&#46; Thus&#44; for a journal with an h-index of 14&#44; as is the case of <span class="elsevierStyleItalic">Medicina Intensiva</span>&#44; Google Scholar Metrics shows us the 14 articles that have received 14 citations or more &#40;<a class="elsevierStyleCrossRef" href="#fig0020">Fig&#46; 4</a>&#41;&#46; In the same way&#44; by clicking on them&#44; we can access the citing documents&#59; it is therefore easy to analyze the sources that largely contribute to the h-index of a given journal&#46;</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0190" class="elsevierStylePara elsevierViewall">The fact that relatively large time windows are used &#40;5 years&#41; implies that the indicator will remain quite stable over time&#46; Since the h-index is an indicator of weak discriminatory capacity &#40;it takes discrete values&#44; and it is very difficult to further raise the index beyond a certain citation threshold&#41;&#44; Google has included another indicator&#8211;the median of the citations received by the articles that contribute to the h-index&#8211;as a second criterion for ordering the journals&#46;</p><p id="par0195" class="elsevierStylePara elsevierViewall">However&#44; Google Scholar Metrics has some very important limitations that make it scantly reliable when used for scientific evaluation purposes<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">34&#44;35</span></a>&#58;<ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0045"><span class="elsevierStyleLabel">-</span><p id="par0200" class="elsevierStylePara elsevierViewall">Coverage&#58; indiscriminate mixing in the rankings of documental sources as diverse as journals&#44; series and collections included in repositories&#44; databases or congress proceedings&#46;</p></li><li class="elsevierStyleListItem" id="lsti0050"><span class="elsevierStyleLabel">-</span><p id="par0205" class="elsevierStylePara elsevierViewall">Errors in citation counts&#44; due to a lack of normalization of journal titles&#44; particularly referred to journals with versions in different languages&#46;</p></li><li class="elsevierStyleListItem" id="lsti0055"><span class="elsevierStyleLabel">-</span><p id="par0210" class="elsevierStylePara elsevierViewall">Main presentation of results by languages&#44; not by scientific disciplines&#44; as is usual in products of this kind&#46; Thus&#44; comparisons are made of journals corresponding to different scientific disciplines&#44; with different production and citation patterns&#46;</p></li><li class="elsevierStyleListItem" id="lsti0060"><span class="elsevierStyleLabel">-</span><p id="par0215" class="elsevierStylePara elsevierViewall">The impossibility of searching by areas or disciplines in the journals published in languages other than English&#46; Limitation of results in the key word-based search to the 20 titles with the highest h-index&#46;</p></li><li class="elsevierStyleListItem" id="lsti0065"><span class="elsevierStyleLabel">-</span><p id="par0220" class="elsevierStylePara elsevierViewall">Insufficient citation window for evaluating publications of national impact in disciplines referred to the human and social sciences&#46;</p></li></ul></p><p id="par0225" class="elsevierStylePara elsevierViewall">Having pointed out the above limitations&#44; a positive evaluation must be made of the step taken by Google&#44; and which will facilitate consultation of the impact of journals by investigators who do not have access to the traditional citation databases&#44; which entail important economical costs&#46; In addition to offering bibliometric indicators to all investigators&#44; this situation may serve to stimulate competition among the different products&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Intensive care medicine through the h-index&#58; comparing Google Scholar&#44; Web of Science and Scopus</span><p id="par0230" class="elsevierStylePara elsevierViewall">In order to evaluate the behavior of Google Scholar and Google Scholar Metrics&#44; and to clearly visualize the differences in results compared with the traditional databases&#44; we have contrasted the h-indexes obtained in a sample of journals and of significant authors in the field of Intensive Care Medicine&#46; As measure of comparison of the positions of the journals and authors&#44; we have used the Spearman correlation coefficient &#40;rho&#41;&#8211;a statistic commonly used in bibliometric studies to measure the association between two variables based on their position in different rankings&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a></p><p id="par0235" class="elsevierStylePara elsevierViewall">The comparison has been made with the 26 journals registered in the Journal Citations Reports &#40;JCR&#41; in 2011&#44; within the category Intensive Care Medicine &#40;Critical Care Medicine&#41;&#44; based on three data sources&#58; Web of Science&#44; Scopus and Google Scholar Metrics&#46; Considering the articles published between 2007 and 2011&#44; the journals <span class="elsevierStyleItalic">American Journal of Respiratory and Critical Care Medicine</span>&#44; and <span class="elsevierStyleItalic">Chest and Critical Care Medicine</span> show the highest h-indexes&#44; independently of the data source used&#46; The mean h-index for the global 26 journals is 28 in the case of the Web of Science&#44; 32 for the journals in Scopus&#44; and 36 in the case of Google Scholar Metrics &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0240" class="elsevierStylePara elsevierViewall">This means that the data from Google Scholar Metrics are 28&#37; higher than those obtained from the Web of Science&#44; and 13&#37; higher than those contained in Scopus&#46; It should be mentioned that the data from Google Scholar Metrics count the citations received until April 2012&#44; while the calculations of the other two databases were made 6 months later&#46; As a result&#44; the percentage difference between Google Scholar Metrics and the other two databases may be somewhat underestimated&#46;</p><p id="par0245" class="elsevierStylePara elsevierViewall">On the other hand&#44; the mean h-index of the sample of journals in Intensive Care Medicine analyzed is 13&#46;5&#37; greater in Scopus than in the Web of Science &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; However&#44; comparison of the order of the journals according to their h-index based on the Spearman correlation coefficient &#40;rho&#41; shows the differences among databases to be negligible&#46; The correlation coefficient&#44; 0&#46;99 in all three cases&#44; at a significance level of 1&#37;&#44; implies that despite the quantitative differences in h-index among the databases&#44; ordering of the journals is practically the same&#44; regardless of the data source employed&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0250" class="elsevierStylePara elsevierViewall">In the same way as for the journals&#44; we have calibrated the h-index of reputed scientists in the field of Intensive Care Medicine&#46; We have taken the 20 most productive investigators in 2007&#8211;2011 within the category Intensive Care Medicine &#40;Critical Care Medicine&#41; in Web of Science&#46; To this effect&#44; we designed a search equation through the advanced search option &#40;WC<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>Critical Care Medicine AND PY<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2007&#8211;2011&#41;&#46; In this way&#44; and making use of the option Refine Results of the mentioned database&#44; we considered the most productive investigators and calculated their h-indexes in Web of Science&#44; Scopus and Google Scholar&#46; Some investigators with common names that could complicate the search process were excluded from the sample&#46; The data referred to the h-indexes of these investigators are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#46; The mean h-index is seen to be 23 in the case of Web of Science&#44; 25 for Scopus&#44; and 29 when using Google Scholar as source for the analysis&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0255" class="elsevierStylePara elsevierViewall">The differences in mean h-index among the databases are very similar to those observed in the case of the journals&#44; with values in Google Scholar almost 30&#37; higher than those in Web of Science&#44; and 16&#37; higher than in Scopus&#46; On the other hand&#44; the difference between Web of Science and Scopus&#44; favorable to the latter&#44; is a mere 10&#46;9&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0260" class="elsevierStylePara elsevierViewall">Few differences are observed in the rankings according to one variable or other&#44; though the most relevant investigator in Web of Science &#40;J&#46;B&#46; Holcomb&#41; is not the leading investigator in either Scopus or Google Scholar &#40;R&#46; Bellomo&#41;&#46; The Spearman correlation coefficient &#40;rho&#41; is very high among the three data sources&#44; particularly between Scopus and Google Scholar &#40;0&#46;968&#41;&#44; at a significance level of 1&#37;&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Discussion</span><p id="par0265" class="elsevierStylePara elsevierViewall">At present we have many ways to evaluate research on the basis of bibliometric parameters&#44; and different data sources are available for this purpose&#46; As a result&#44; the impact factor and ISI Web of Science no longer monopolize these evaluating functions&#46; Indicators such as the h-index or databases and products such as those offered by Google are only some of the most recognizable examples of the existing alternatives&#46;</p><p id="par0270" class="elsevierStylePara elsevierViewall">The h-index above all is an indicator used to assess the scientific trajectory of an investigator&#44; measuring his or her regularity in terms of scientific productivity and impact&#46; It can also be used to measure the performance of journals and institutions&#44; though in this case it is advisable to confine calculation of the index to limited periods of time&#46; Despite its very easy calculation and use&#44; and its solidness and tolerance of statistical deviations&#44; the h-index must be used with great caution&#44; and in any case measures and controls must be adopted to neutralize or minimize its sources of bias&#46; One of these controls&#44; in the case of biomedicine&#44; would be to always perform comparisons within one same discipline&#44; and in the case of investigators&#44; to consider scientific careers of similar duration or apply some normalization criterion according to the years of research trajectory or the academic position held&#46; Likewise&#44; it must be stressed that it is never a good idea to measure the performance of an investigator or institution with a single indicator&#46; In this sense&#44; it is advisable to use a battery of indicators in evaluative processes based on bibliometric parameters&#8211;if possible&#44; in conjunction with expert counseling of specialists in the corresponding scientific field&#46;</p><p id="par0275" class="elsevierStylePara elsevierViewall">It must be made clear that use of the h-index does not mean that the impact factor is no longer applicable as a scientific quality indicator&#46; It is a good marker for measuring difficulties and barriers in accessing a given scientific journal&#44; and for evaluating its impact&#46; In the case of Medicine&#44; it is essential for investigators to publish their work in journals with an impact factor&#44; since the latter remains the gold standard for assessing the ranking of scientific journals&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a> In this context&#44; journals with higher impact factors receive larger numbers of manuscript submissions&#44; and are obliged to reject many of them&#46; Authors therefore have to compete among each other for publication in these journals&#46; For this reason the impact factor can be regarded as a competitivity indicator&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">38</span></a> A good example is provided by this same journal &#40;<span class="elsevierStyleItalic">Medicina Intensiva</span>&#41;&#44; which saw a 200&#37; increase in the number of original manuscripts received after obtaining its first impact factor&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">39</span></a> This phenomenon shows that the scientific community tends to regulate itself&#44; since the leading journals in turn incorporate more exhaustive and demanding controls&#8211;allowing publication only by the more prominent members of the scientific community&#46; Logically&#44; this does not prevent such journals from also publishing works of limited value or usefulness for investigators&#44; but in this case such studies represent a significantly lesser percentage than in the case of journals that have no impact factor&#46; For this reason it is also advisable to remember that the impact factor of a journal is not representative of the impact of the articles that are published in it&#46; Believing that a given work&#44; the authors signing it&#44; and the institution behind it &#8220;inherit&#8221; the impact factor of the journal in which it has been published is a widespread and mistaken practice&#8211;particularly among Spanish investigators&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p><p id="par0280" class="elsevierStylePara elsevierViewall">In sum&#44; it is important to take into account that all bibliometric indicators have limitations&#44; and that we should avoid using a single criterion for the evaluation of research&#59; rather&#44; a series of indicators should be used in order to ensure rigorous and fair assessments&#46;</p><p id="par0285" class="elsevierStylePara elsevierViewall">Regarding the use of Google Scholar as a source of scientific information&#44; we can conclude that it is a serious alternative to the traditional databases&#46; The browser developed by Google offers results similar to those of other data sources&#44; and may be preferable for establishing a first documental approach to a given topic&#44; or for locating certain literature references&#46; However&#44; in biomedicine it is still preferable to make use of the controlled environment afforded by specialized services such as PubMed&#44; with journals and contents validated by the scientific community&#46;</p><p id="par0290" class="elsevierStylePara elsevierViewall">In turn&#44; although Google Scholar Citations and Google Scholar Metrics &#40;the products derived from Google Scholar&#41; pose problems associated with the lack of normalization of the browser&#44; they offer fast and cost-free bibliometric information of great value&#44; referred to the performance of both individual investigators and scientific journals&#46; This undoubtedly is of help in familiarizing investigators with the bibliometric indicators and with their use in the evaluation of scientific activity&#46;</p><p id="par0295" class="elsevierStylePara elsevierViewall">A surprising observation on comparing the bibliometric data offered by Google Scholar with the traditional bibliometric databases Web of Science and Scopus&#44; considering both investigators and journals&#44; is that the results are practically identical&#44; at least in Intensive Care Medicine&#46; There is no disparity in the rankings obtained&#58; all three systems coincide in identifying the most relevant and influencing authors and journals&#46; The only differences refer to scale and size&#58; Google Scholar retrieves more citations than Scopus&#44; and the latter in turn retrieves more citations than the Web of Science&#46;</p><p id="par0300" class="elsevierStylePara elsevierViewall">Beyond the technical aspects&#44; it is true that there are two important differences&#46; The first is of a conceptual nature&#46; Scientific ethics demands prior controls to certify and validate the generation and diffusion of knowledge&#44; i&#46;e&#46; it demands controlled settings&#46; In this context&#44; Google Scholar works in an uncontrolled environment&#44; since it processes all the scientific information it is able to capture on the Internet&#44; regardless of how it is produced and communicated&#46; In this sense&#44; the new information sources are in stark contrast to the traditional databases that exclusively rely on filtered and screened scientific sources &#40;journals and congresses&#41; with the most rigorous scientific controls&#46; However&#44; to the effects of scientific evaluation&#44; control or the lack of control makes no difference&#46; The other mentioned difference refers to economical considerations&#44; since the price to pay for one source or other is not the same&#46; In this context&#44; while Google Scholar is a free and open-access service&#44; the multidisciplinary databases represent great costs for the research institutions&#44; and the licenses are moreover very restrictive&#46;</p><p id="par0305" class="elsevierStylePara elsevierViewall">In conclusion&#44; while the impact factor introduced the evaluation of scientific performance in the academic world&#44; and Google popularized the access to information scientific&#44; the h-index and bibliometric tools derived from Google Scholar have further extended scientific evaluation&#44; making the retrieval of academic information and the calculation of bibliometric indicators more accessible&#46; In sum&#44; the great novelty of these last few years has been the fact that these products are no longer restricted to specialists and are now open to any investigator&#44; thanks to the ease with which these metrics are calculated and the free and open access allowed by the new tools&#8211;giving rise to what may be regarded as a kind of popularization of scientific evaluation&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Financial support</span><p id="par0310" class="elsevierStylePara elsevierViewall">This study was supported by project HAR2011-30383-C02-02 of the General Research and Management Board of the National R&#38;D and Innovation Plan&#44; Spanish Ministry of Economy&#46;</p><p id="par0315" class="elsevierStylePara elsevierViewall">The funding sources have not participated in the design of the study&#44; in data collection&#44; analysis or interpretation&#44; in drafting of the manuscript&#44; or in the decision to submit the study for publication&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Conflicts of interest</span><p id="par0320" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest&#46;</p></span></span>"
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          "titulo" => "The h-index&#58; a new bibliometric indicator for measuring scientific performance"
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          "titulo" => "The Google family&#58; Google Scholar&#44; Google Scholar Metrics and Google Scholar Citations"
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              "identificador" => "sec0020"
              "titulo" => "Google Scholar"
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              "titulo" => "Google Scholar citations&#58; bibliometric profiles of investigators"
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              "titulo" => "Google Scholar metrics&#58; rankings of scientific journals"
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          "titulo" => "Intensive care medicine through the h-index&#58; comparing Google Scholar&#44; Web of Science and Scopus"
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          "titulo" => "Discussion"
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            0 => "Research evaluation"
            1 => "Bibliometrics"
            2 => "h-Index"
            3 => "Citation analysis"
            4 => "Periodicals"
            5 => "Databases&#44; Bibliographic"
            6 => "Google Scholar"
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            4 => "Revistas cient&#237;ficas"
            5 => "Bases de datos bibliogr&#225;ficas"
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        "titulo" => "Abstract"
        "resumen" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The aim of this study is to review the features&#44; benefits and limitations of the new scientific evaluation products derived from Google Scholar&#44; such as Google Scholar Metrics and Google Scholar Citations&#44; as well as the h-index&#44; which is the standard bibliometric indicator adopted by these services&#46; The study also outlines the potential of this new database as a source for studies in Biomedicine&#44; and compares the h-index obtained by the most relevant journals and researchers in the field of intensive care medicine&#44; based on data extracted from the Web of Science&#44; Scopus and Google Scholar&#46; Results show that although the average h-index values in Google Scholar are almost 30&#37; higher than those obtained in Web of Science&#44; and about 15&#37; higher than those collected by Scopus&#44; there are no substantial changes in the rankings generated from one data source or the other&#46; Despite some technical problems&#44; it is concluded that Google Scholar is a valid tool for researchers in Health Sciences&#44; both for purposes of information retrieval and for the computation of bibliometric indicators&#46;</p>"
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        "resumen" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">El objetivo de este art&#237;culo es hacer una revisi&#243;n de las caracter&#237;sticas&#44; prestaciones y limitaciones de los nuevos productos de evaluaci&#243;n cient&#237;fica derivados de Google Scholar&#44; como son Google Scholar Metrics y Google Scholar Citations&#44; y del &#237;ndice h&#44; el indicador bibliom&#233;trico adoptado como est&#225;ndar por estos servicios&#46; Asimismo se rese&#241;a la potencialidad de esta nueva base de datos como fuente para estudios en biomedicina y se realiza una comparaci&#243;n del &#237;ndice h obtenido por las revistas e investigadores m&#225;s relevantes en el &#225;mbito de la medicina intensiva&#44; a partir de los datos extra&#237;dos de Web of Science&#44; Scopus y Google Scholar&#46; Los resultados muestran que&#44; pese a que los valores medios de &#237;ndice h en Google Scholar son casi un 30&#37; m&#225;s elevados que los obtenidos en Web of Science y en torno a un 15&#37; m&#225;s altos que los recogidos por Scopus&#44; no hay variaciones sustantivas en las clasificaciones generadas a partir de una u otra fuente de datos&#46; Aunque existen algunos problemas t&#233;cnicos&#44; se concluye que Google Scholar es una herramienta v&#225;lida para los investigadores en ciencias de la salud&#44; tanto a efectos de recuperaci&#243;n de informaci&#243;n como de cara a la extracci&#243;n de indicadores bibliom&#233;tricos&#46;</p>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Please cite this article as&#58; Cabezas-Clavijo A&#44; Delgado-L&#243;pez-C&#243;zar E&#46; Google Scholar e &#237;ndice h en biomedicina&#58; la popularizaci&#243;n de la evaluaci&#243;n bibliom&#233;trica&#46; Med Intensiva&#46; 2013&#59;37&#58;343&#8211;354&#46;</p>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0025"><span class="elsevierStyleInterRef" id="intr0010" href="http://sci2s.ugr.es/hindex/biblio.php">http&#58;&#47;&#47;sci2s&#46;ugr&#46;es&#47;hindex&#47;biblio&#46;php</span>&#46;</p>"
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          "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Profile of an investigator in Google Scholar Citations&#46;</p>"
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          "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Investigators with the largest number of citations in Google Scholar Citations&#44; linked to the descriptor Intensive Care Medicine &#40;Critical Care&#41;&#46;</p>"
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          "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Lists of publications with the highest h-indexes in Spanish &#40;2007&#8211;2011&#41;&#44; according to Google Scholar Metrics&#46;</p>"
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          "leyenda" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Source&#58; Google Scholar Metrics data&#44; taken from <span class="elsevierStyleInterRef" id="intr0005" href="http://scholar.google.com/citations%3Fview_op=top_venues">http&#58;&#47;&#47;scholar&#46;google&#46;com&#47;citations&#63;view&#95;op&#61;top&#95;venues</span> &#40;number of citations updated to 1 April 2012&#41;&#46; Data from Web of Science and Scopus compiled on 26 September 2012&#46;</p>"
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                  \t\t\t\t">8&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">23&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Anasthesiologie und Intensivmedizin</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Medicina Intensiva</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">10&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">An&#228;sthesiologie&#44; Intensivmedizin&#44; Notfallmedizin&#44; Schmerztherapie</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Promedio&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                0 => "xTab399775.png"
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          "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">h-Indexes of journals in intensive care medicine &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>26&#41; according to the Web of Science&#44; Scopus and Google Scholar Metrics &#40;2007&#8211;2011&#41;&#46;</p>"
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          "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Difference in h-index&#58; percentage differences in the mean h-indexes between databases&#46; The database with the largest mean h-index appears in parentheses&#46; No&#46;&#58; journals&#59; rho&#58; Spearman correlation coefficient&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Source&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">No&#46;<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Rho<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Difference in h-index&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOS-SCOPUS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;994&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#43;13&#46;5&#37; &#40;SCOPUS&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOS-GSM&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;989&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#43;28&#46;2&#37; &#40;GSM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">SCOPUS-GSM&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;994&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#43;12&#46;9&#37; &#40;GSM&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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                0 => "xTab399777.png"
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            0 => array:3 [
              "identificador" => "tblfn0005"
              "etiqueta" => "a"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Since Google Scholar Metrics contains a journal for which no data are available&#44; the statistical analysis is performed on 25 journals in the case of this database&#44; instead of on the 26 journals of the analysis in the WOS-Scopus comparison&#46;</p>"
            ]
            1 => array:3 [
              "identificador" => "tblfn0010"
              "etiqueta" => "b"
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            ]
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Comparison of the h-indexes of journals in intensive care medicine according to databases&#46;</p>"
        ]
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      6 => array:7 [
        "identificador" => "tbl0015"
        "etiqueta" => "Table 3"
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        "mostrarDisplay" => false
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Data compiled on 28 September 2012&#46;</p>"
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Investigator&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="3" align="center" valign="\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">h-Index</td><td class="td" title="\n
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                  \t\t\t\t  " colspan="3" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Ranking</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">WOS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Scopus&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">GS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">WOS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Scopus&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">GS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Holcomb JB&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">37&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">Bellomo R&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Matthay MA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Rello J&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Angus DC&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Reinhart K&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Moore EE&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Kollef MH&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Azoulay E&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Wade CE&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Kellum JA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Ely EW&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">24&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Scalea TM&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">Giannoudis PV&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Gajic O&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">Demetriades D&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Sprung CL&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Promedio&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab399774.png"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">h-Indexes of leading investigators in intensive care medicine &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>20&#41; according to the Web of Science&#44; Scopus and Google Scholar &#40;2007&#8211;2011&#41;&#46;</p>"
        ]
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      7 => array:7 [
        "identificador" => "tbl0020"
        "etiqueta" => "Table 4"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Difference in h-index&#58; percentage differences in the mean h-indexes between databases&#46; The database with the largest mean h-index appears in parentheses&#46; No&#46;&#58; journals&#59; rho&#58; Spearman correlation coefficient&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
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                0 => """
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                  \t\t\t\t" style="border-bottom: 2px solid black">Rho<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
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Article information
ISSN: 21735727
Original language: English
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2024 February 121 55 176
2024 January 132 38 170
2023 December 94 67 161
2023 November 92 47 139
2023 October 83 43 126
2023 September 104 48 152
2023 August 43 16 59
2023 July 50 43 93
2023 June 54 32 86
2023 May 54 37 91
2023 April 67 22 89
2023 March 86 37 123
2023 February 107 35 142
2023 January 105 34 139
2022 December 68 49 117
2022 November 91 54 145
2022 October 66 55 121
2022 September 63 61 124
2022 August 63 59 122
2022 July 46 46 92
2022 June 64 48 112
2022 May 80 56 136
2022 April 65 66 131
2022 March 112 87 199
2022 February 96 51 147
2022 January 72 51 123
2021 December 85 61 146
2021 November 100 64 164
2021 October 107 73 180
2021 September 63 52 115
2021 August 57 55 112
2021 July 43 45 88
2021 June 62 43 105
2021 May 113 64 177
2021 April 187 131 318
2021 March 131 29 160
2021 February 115 30 145
2021 January 128 42 170
2020 December 142 32 174
2020 November 135 34 169
2020 October 123 39 162
2020 September 133 26 159
2020 August 79 24 103
2020 July 80 20 100
2020 June 117 22 139
2020 May 150 27 177
2020 April 1248 34 1282
2020 March 144 26 170
2020 February 241 46 287
2020 January 96 41 137
2019 December 124 35 159
2019 November 105 39 144
2019 October 185 25 210
2019 September 121 44 165
2019 August 149 30 179
2019 July 156 38 194
2019 June 89 42 131
2019 May 94 83 177
2019 April 123 25 148
2019 March 116 31 147
2019 February 74 37 111
2019 January 86 27 113
2018 December 141 43 184
2018 November 227 49 276
2018 October 105 35 140
2018 September 78 14 92
2018 August 56 9 65
2018 July 51 20 71
2018 June 59 15 74
2018 May 38 4 42
2018 April 52 8 60
2018 March 43 7 50
2018 February 50 10 60
2018 January 61 17 78
2017 December 60 15 75
2017 November 67 11 78
2017 October 70 12 82
2017 September 62 12 74
2017 August 58 16 74
2017 July 37 13 50
2017 June 68 12 80
2017 May 63 17 80
2017 April 79 18 97
2017 March 46 9 55
2017 February 41 10 51
2017 January 41 11 52
2016 December 76 21 97
2016 November 88 17 105
2016 October 94 18 112
2016 September 95 18 113
2016 August 88 11 99
2016 July 75 16 91
2016 February 1 0 1
2015 December 2 0 2
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¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

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