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Can Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysis

机译:Microsoft Academic是否可以评估新闻中文章的早期引用影响?多学科探索性分析

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摘要

Many journals post accepted articles online before they are formally published in an issue. Early citation impact evidence for these articles could be helpful for timely research evaluation and to identify potentially important articles that quickly attract many citations. This article investigates whether Microsoft Academic can help with this task. For over 65,000 Scopus in-press articles from 2016 and 2017 across 26 fields, Microsoft Academic found 2-5 times as many citations as Scopus, depending on year and field. From manual checks of 1122 Microsoft Academic citations not found in Scopus, Microsoft Academic's citation indexing was faster but not much wider than Scopus for journals. It achieved this by associating citations to preprints with their subsequent in-press versions and by extracting citations from in-press articles. In some fields its coverage of scholarly digital libraries, such as arXiv.org, was also an advantage. Thus, Microsoft Academic seems to be a more comprehensive automatic source of citation counts for in-press articles than Scopus. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在期刊正式发表之前,许多期刊都会在网上发布被接受的文章。这些文章的早期引文影响证据可能有助于及时进行研究评估,并确定可能很快吸引许多引文的重要文章。本文调查Microsoft Academic是否可以帮助完成此任务。从2016年到2017年,在超过265,000个领域的Scopus印刷文章中,有超过65,000篇关于Microsoft Academic的文章被引用的次数是Scopus的2-5倍,具体取决于年份和领域。通过对Scopus中未发现的1122个Microsoft Academic引用进行的手动检查,Microsoft Academic的引用索引编制速度更快,但没有期刊的Scopus广泛。它通过将引文与预印本及其后续的印刷中版本相关联并从印刷中的文章中提取引文来实现。在某些领域,它对诸如arXiv.org之类的学术数字图书馆的覆盖也是一个优势。因此,与Scopus相比,Microsoft Academic似乎是一种更全面的自动新闻引用文章计数来源。 (C)2018 Elsevier Ltd.保留所有权利。

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  • 来源
    《Journal of informetrics》 |2018年第1期|287-298|共12页
  • 作者单位

    Univ Wolverhampton, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England;

    Univ Wolverhampton, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England;

    Univ Wolverhampton, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England;

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