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For Non-expert Clinical Searches, Google Scholar Results are Older with Higher Impact while PubMed Results Offer More Breadth

机译:对于非专家临床搜索,Google学术搜索的结果较旧,且影响较大,而PubMed结果的搜索范围更广

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Objectives – To compare PubMed and Google Scholar results for content relevance and article quality Design – Bibliometric study. Setting – Department of Internal Medicine at Texas Tech University Health Sciences Center. Methods – Four clinical searches were conducted in both PubMed and Google Scholar. Search methods were described as “real world” (p. 216) behaviour, with the searchers familiar with content, though not expert at retrieval techniques. The first 20 results from each search were evaluated for relevance to the initial question, as well as for quality. Relevance was determined based on one author’s subjective assessment of information in the title and abstract, when available, and then tested by two other authors, with discrepancies discussed and resolved. Items were assigned to one of three categories: relevant, possibly relevant, and not relevant to the question, with reviewer agreement measured using a weighted kappa statistic. The quality of items found to be ‘relevant’ and ‘possibly relevant’ was measured by impact factor ratings from Thomsen Reuters (ISI) Web of Knowledge, when available, as well as information obtained by SCOPUS on the number of times items were cited. Main Results – Google Scholar results were judged to be more relevant and of higher quality than results obtained from PubMEed. Google Scholar results are also older on average, while PubMed retrieved items from a larger number of unique journals. Conclusion – In agreement with earlier research, the authors recommended that searchers use both PubMed and Google Scholar to improve on the quality and relevance of results. Searches in the two resources identify unique items based upon the ranking algorithms involved.
机译:目标–比较PubMed和Google学术搜索的结果在内容相关性和文章质量方面的设计–文献计量研究。设置–德州理工大学健康科学中心内科。方法–在PubMed和Google Scholar中进行了四次临床搜索。搜索方法被描述为“现实世界”行为(第216页),虽然不是精通检索技术的专家,但他们都熟悉内容。评估了每次搜索的前20个结果与初始问题的相关性以及质量。相关性是根据一位作者对标题和摘要中的信息(如果有)进行的主观评估确定的,然后由另外两位作者进行测试,并讨论并解决了差异。将项目分配到以下三类之一:与问题相关,可能相关,与问题无关,并使用加权kappa统计量来衡量审阅者的同意。被发现为“相关”和“可能相关”的物品的质量通过汤森路透(ISI)知识网(如果有)的影响因子评级以及SCOPUS获得的有关被引用次数的信息来衡量。主要结果–与从PubMEed获得的结果相比,Google学术搜索的结果被认为更相关,质量更高。 Google学术搜索的结果平均而言也更老,而PubMed则从大量独特的期刊中检索项目。结论–与早期研究一致,作者建议搜索者同时使用PubMed和Google Scholar来改善结果的质量和相关性。在两个资源中的搜索根据所涉及的排名算法来标识唯一项。

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