Mostrando 21 - 40 Resultados de 16,999 Para Buscar '"Google Scholar"', tiempo de consulta: 0.20s Limitar resultados
  1. 21
    “…The aim of this study was to provide clinicians with recommendations for search strategies to efficiently identify relevant CPGs in SUMSearch and Google Scholar. METHODS: We compared the retrieval efficiency (retrieval performance) of search strategies to identify CPGs in SUMSearch and Google Scholar. …”
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  2. 22
    “…The present study aims to appraise the relative proficiency of PubMed and Google Scholar. FINDINGS: Unlike PubMed, Google Scholar does not allow a choice between "Human" and "Animal" studies, nor between "Classical" and other types of studies. …”
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  3. 23
    “…Precision was similar in both databases (PubMed: 6%; Google Scholar: 8%; P=.07). Google Scholar provided significantly greater access to free full-text publications (PubMed: 5%; Google Scholar: 14%; P<.001). …”
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  4. 24
    “…Objective(s): Citation tracking is an important method to analyze the scientific impact of journal articles and can be done through Scopus (SC), Google Scholar (GS), or ISI web of knowledge (WOS). In the current study, we analyzed the citations to 2011-2012 articles of Iranian Journal of Basic Medical Sciences (IJBMS) in these three resources. …”
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  5. 25
    “…Starting from the example of Google Scholar, the authors show that this well established service does not address the current needs, practices, and variety of discovery. …”
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  6. 26
    por Masic, Izet
    Publicado 2017
    “…MATERIAL AND METHODS: The work has an analytical character and presents analysis of the data obtained from the Google Scholar and Scopus database. Results are shown through number of cases, percentage and graphically. …”
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  7. 27
    “…This indicates a positive and strong correlation between RG variables and Scopus and Google Scholar indicators, while the RG indicators were more correlated with Google Scholar than Scopus. …”
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    “…Of the 752 completed studies the frequency of published results in PubMed, Embase or Google Scholar ranged from 57.9% to 69.7% in the last years. …”
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  11. 31
    por Huh, Sun
    Publicado 2013
    “…The H-indexes from Web of Science, Scopus, KoMCI, KoreaMed Synapse, and Google Scholar were 8, 10, 12, 9, and 18, respectively. …”
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  12. 32
    “…BACKGROUND: The usefulness of Google Scholar (GS) as a bibliographic database for biomedical systematic review (SR) searching is a subject of current interest and debate in research circles. …”
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  14. 34
    “…A total of 916 articles were returned by both methods and Mastermind averaged four relevant articles per search compared to Google Scholar's three. Of relevant Mastermind articles, 193/308 (62.7%) were unique to it, compared to 87/202, (43.0%) for Google Scholar. …”
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  15. 35
    “…In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. …”
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  16. 36
    “…The same framework and process was then applied to Google Scholar, specifically for topics that resulted in few PubMed search returns. …”
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  17. 37
    “…The number of academic citations differed significantly by subspecialty on Google Scholar (p < 0.001) and Web of Science (p < 0.001). …”
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  18. 38
    “…We calculated the Spearman correlation coefficients (ρ) to evaluate the correlation between the HSG scores and h-indexes obtained from Google Scholar and Scopus. RESULTS: A total of 286 (31.2%) of the 917 stakeholders had a Google Scholar h-index available. …”
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  19. 39
    “…However, other combinations of databases yielded corresponding recall rates and are expected to perform comparably. Google Scholar can be a useful supplement to traditional scientific databases to ensure an optimal and comprehensive retrieval of relevant references.…”
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  20. 40
    “…One-hundred and sixty-four reviews with available altmetrics information were included in the final multifactorial analysis, which showed that social media and impact factor have less effect than Mendeley and SCOPUS readers on the number of cites that appear in Google Scholar. Although a journal’s impact factor predicted the number of tweets (OR, 1.202; 95% CI, 1.087–1.049), the years of publication and the number of Mendeley readers predicted the number of citations in Google Scholar (OR, 1.033; 95% CI, 1.018–1.329). …”
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