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Information on the size of academic search engines and bibliographic databases (ASEBDs) is often outdated or entirely unavailable. Hence, it is difficult to assess the scope of specific databases, such as Google Scholar. While scientometric studies have estimated ASEBD sizes before, the methods empl...
Comparative Recall and Precision of Simple and Expert Searches in Google Scholar and Eight Other Databases This study evaluates the effectiveness of simple and expert searches in Google Scholar (GS), EconLit, GEOBASE, PAIS, POPLINE, PubMed, Social Sciences Citat... Walters,H William - 《Portal...
In a crossover design, one researcher performed the search in PubMed (PM1), the other in Google Scholar (GS1). Subsequently each performed the same searches in the other database (PM2 and GS2). Total numbers of articles identified, relevant articles found, and the time to complete were ...
出处:Where Google Scholar Stands on Art:An Evaluation of Content Coverage in Online Databases 2008[学位论文] A case study to evaluate the usefulness of Google Analytics in the design of a website. 作者:Deshmukh, Priyanka.(State University of New York) 学位名称:M.S. 出处:A case stu...
Other databases are now available, but their relative performance has not been established. Objective To compare the citation count profiles of articles published in general medical journals among the citation databases of Web of Science, Scopus, and Google Scholar. Design Cohort study of 328 ...
Internet technologies have demonstrated their value for the early detection and prediction of epidemics. In diverse cases, electronic surveillance systems can be created by obtaining and analyzing on-line data, complementing other existing monitoring res
Article Google Scholar Ooi HS, Schneider G, Lim TT, Chan YL, Eisenhaber B, Eisenhaber F . Biomolecular pathway databases. Methods Mol Biol 2010; 609: 129–144. Article CAS PubMed Google Scholar Koutsogiannouli E, Papavassiliou AG, Papanikolaou NA . Complexity in cancer biology: is sys...
[Google Scholar] [CrossRef] Shayeganpour, S.; Tangestani, M.H.; Gorsevski, P.V. Machine learning and multi-sensor data fusion for mapping lithology: A case study of Kowli-kosh area, SW Iran. Adv. Space Res. 2021, 68, 3992–4015. [Google Scholar] [CrossRef] Du, B.; Mao, D...
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