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Assessing the Citation Impact of Books: The Role of Google Books, Google Scholar, and Scopus

机译:评估图书的引文影响:Google图书,Google Scholar和Scopus的作用

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摘要

Citation indictors are increasingly used in some subject areas to support peer review in the evaluation of researchers and departments. Nevertheless, traditional journal-based citation indexes may be inadequate for the citation impact assessment of book-based disciplines. This article examines whether online citations from Google Books and Google Scholar can provide alternative sources of citation evidence. To investigate this, we compared the citation counts to 1,000 books submitted to the 2008 U.K. Research Assessment Exercise (RAE) from Google Books and Google Scholar with Scopus citations across seven book-based disciplines (archaeology; law; politics and international studies; philosophy; sociology; history; and communication, cultural, and media studies). Google Books and Google Scholar citations to books were 1.4 and 3.2 times more common than were Scopus citations, and their medians were more than twice and three times as high as were Scopus median citations, respectively. This large number of citations is evidence that in book-oriented disciplines in the social sciences, arts, and humanities, online book citations may be sufficiently numerous to support peer review for research evaluation, at least in the United Kingdom.
机译:在某些学科领域中越来越多地使用引文指标来支持对研究人员和部门的评估中的同行评审。但是,传统的基于期刊的引文索引可能不足以评估基于书籍的学科的引文影响。本文研究了Google图书和Google学术搜索的在线引文是否可以提供引文证据的替代来源。为了对此进行调查,我们将引用计数与Google图书和Google Scholar向2008年英国研究评估练习(RAE)提交的1,000本书进行了比较,并将Scopus引用了七个以图书为基础的学科(考古学,法律,政治和国际研究,哲学,社会学;历史;以及传播,文化和媒体研究)。 Google图书和Google学术搜索对图书的引用是Scopus引用的1.4倍和3.2倍,其中位数分别是Scopus的中位数被引用的两倍和三倍以上。大量的引用证明了在社会科学,艺术和人文科学的面向书籍的学科中,在线书籍的引用可能足够多,足以支持同行评审进行研究评估,至少在英国是这样。

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    Statistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Street,Wolverhampton WV1 1LY, United Kingdom, and Department of Library and Information Science, University of Tehran, Jalle-Ahmad Highway, P.O. Box 14155-6456, Tehran, Iran;

    Statistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Street,Wolverhampton WV1 1LY, United Kingdom;

    Department of Library and Information Science, Shahid Beheshti University, Evin Street, Tehran, Iran;

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