图书情报工作 ›› 2015, Vol. 59 ›› Issue (3): 112-118.DOI: 10.13266/j.issn.0252-3116.2015.03.016

• 情报研究 • 上一篇    下一篇

基于Mendeley与WoS的选择性计量指标与传统科学计量指标相关性研究

刘晓娟, 周建华, 尤斌   

  1. 北京师范大学政府管理学院 北京 100875
  • 收稿日期:2014-12-15 修回日期:2015-01-10 出版日期:2015-02-05 发布日期:2015-02-05
  • 作者简介:刘晓娟(ORCID:0000-0002-5727-733X),信息管理系主任,副教授,博士,E-mail:lxj_2007@bnu.edu.cn;周建华(ORCID:0000-0002-3146-2000),硕士研究生;尤斌(ORCID:0000-0001-5964-305X),硕士研究生。

Study on Correlation Between Altmetrics Indicators and Traditional Scientometric Indicators Based on Mendeley and WoS

Liu Xiaojuan, Zhou Jianhua, You Bin   

  1. School of Government, Beijing Normal University, Beijing 100875
  • Received:2014-12-15 Revised:2015-01-10 Online:2015-02-05 Published:2015-02-05

摘要:

[目的/意义] 进一步探讨Web 2.0环境下选择性计量指标的有效性。[方法/过程] 以"data mining"为检索词,获得Mendeley与Web of Science两平台的交叉文献集合,分别对交叉文集的被引频数与阅读数、被引频数与标签数进行相关性检验后,从每组选取指标值差异最大与最小的各100篇文献进行具体分析。[结果/结论] 传统计量指标被引频数与Mendeley中的阅读数和标签数均存在弱相关性,证实了以阅读数和标签数为代表的选择性计量指标可以在一定程度上评估文献的影响力,且文献类型、出版年份和作者h指数会对用户阅读、引用等文献利用行为产生影响。未来文献影响力评价的发展方向应为传统文献计量方法与选择性计量方法的结合。

关键词: 选择性计量指标, 相关性分析, 文献影响力, Mendeley, 科学计量指标

Abstract:

[Purpose/significance] This paper will explore the effectiveness of altmetrics indicators in the Web 2.0 environment. [Method/process] It achieves a set of overlapping documents in the data mining domain from Mendeley and Web of Science, verifies the correlation between citation number and reader counts as well as citation number and tags frequency, and selects 100 articles with great difference and 100 articles with little difference to analyze specifically. [Result/conclusion] It finds that the citation number in traditional indicator has weak correlation with reader counts and tags frequency in Mendeley. Thus confirms that reader counts and tags frequency as the representatives of altmetrics indicators can evaluate the literature influence in some extent, and document types, publication date and H index of authors can affect the usage rate and influence of literature. In the future, the literature influence evaluation should combine the traditional scientometric and newly altmetrics

Key words: altmetrics indicators, correlation analysis, literature influence, Mendeley, scientometric indicator

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