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Google Scholar citations and Google Web/URL citations: A multi-discipline exploratory analysis

机译:Google学者引文和Google Web / URL引文:多学科探索性分析

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摘要

In this paper we introduce a new data gathering method “Web/URL Citation” and use it and Google Scholar as a basis to compare traditional and Web-based citation patterns across multiple disciplines. For this, we built a sample of 1,650 articles from 108 Open Access (OA) journals published in 2001 in four science and four social science disciplines. We recorded the number of citations to the sample articles using several methods based upon the ISI Web of Science, Google Scholar and the Google search engine (Web/URL citations). For each discipline, we found significant correlations between ISI citations and both Google Scholar and Google Web/URL citations; with similar results when using total or average citations, and when comparing within and across (most) journals. We also investigated disciplinary differences. Google Scholar citations were more numerous than ISI citations in our four social science disciplines as well as in computer science, suggesting that Google Scholar is a more comprehensive tool for citation tracking in the social sciences and perhaps also in fast-moving fields where conference papers are highly valued and published online. The results for Web/URL citations suggested that counting a maximum of one hit per site produces a better measure for assessing the impact of OA journals or articles, because replicated web citations are very common within individual sites. The results can be considered as additional evidence that there is some commonality between traditional and Web-extracted citations.
机译:在本文中,我们介绍了一种新的数据收集方法“ Web / URL引用”,并使用它和Google学术搜索作为基础来比较跨多个学科的传统和基于Web的引用模式。为此,我们从2001年出版的108篇开放访问(OA)期刊中的四个科学和四个社会科学领域的1,650篇文章中提取了1,650篇文章。我们使用基于ISI Web of Science,Google Scholar和Google搜索引擎(Web / URL引用)的几种方法记录了对示例文章的引用次数。对于每门学科,我们发现ISI引文与Google Scholar和Google Web / URL引文之间存在显着的相关性。使用总或平均引用量以及在(大多数)期刊之间进行比较时,结果相似。我们还研究了学科差异。在我们的四个社会科学学科以及计算机科学领域,Google Scholar的引用比ISI的引用要多得多,这表明Google Scholar是一种更全面的工具,可用于跟踪社会科学以及在会议论文多的快速领域中的引用。高度重视并在线发布。 Web / URL引用的结果表明,每个站点最多统计一次匹配可以更好地评估OA期刊或文章的影响,因为重复的Web引用在单个站点中非常普遍。结果可被视为传统证据和网络提取文献之间存在某些共性的补充证据。

著录项

  • 作者

    Kayvan Kousha; Mike Thelwall;

  • 作者单位
  • 年度 2007
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"english","id":9}
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