图书情报工作 ›› 2015, Vol. 59 ›› Issue (18): 108-116.DOI: 10.13266/j.issn.0252-3116.2015.18.017

• 情报研究 • 上一篇    下一篇

图书情报领域文献的Altmetrics指标分析

刘晓娟, 宰冰欣   

  1. 北京师范大学政府管理学院 北京 100875
  • 收稿日期:2015-08-19 修回日期:2015-09-05 出版日期:2015-09-20 发布日期:2015-09-20
  • 作者简介:刘晓娟(ORCID:0000-0002-5727-733X),副教授,硕士生导师,E-mail:lxj_2007@bnu.edu.cn;宰冰欣(ORCID:0000-0003-3613-5786),硕士研究生。

Analysis of Altmetrics Indicators in the Field of Library and Information Science

Liu Xiaojuan, Zai Bingxin   

  1. School of Government, Beijing Normal University, Beijing 100875
  • Received:2015-08-19 Revised:2015-09-05 Online:2015-09-20 Published:2015-09-20

摘要:

[目的/意义]通过分析某个学科领域中Altmetrics指标的特征,为该领域文献影响力评价提供更加科学合理的指标体系。[方法/过程]定位于图书情报领域,选取Scopus、Altmetric.com进行文献被引频次及Altmetrics指标值的采集,对数据进行统计分析、聚类分析和内容分析。[结果/结论]在众多Altmetrics指标中,Mendeley和Twitter更适合于对图书情报领域文献的影响力做出评价;Mendeley和Twitter中文献的使用群体、文献主题、内容和期刊分布都存在明显的差异性;Twitter适合对文献的社会影响力做出判断,Mendeley更适用于文献的学术影响力评价;不同工具的流行程度存在地域差异,利用Altmetrics指标时应考虑该指标对文献影响力的评价是否存在地域缺失。

关键词: Altmetrics, Mendeley, Twitter, 文献计量

Abstract:

[Purpose/significance] By analyzing the feature of Altmetrics indicators, this paper builds a scientific evaluation system to judge the impact of papers in a certain field.[Method/process] Taking the field of library and information science for example, it gathers citations and Altmetrics from Scopus and Altmetric.com, and makes a statistical analysis, cluster analysis and content analysis.[Result/conclusion] The findings show that: Mendeley and Twitter are more suitable to evaluate the impact of literatures in the field of library and information science; there are significant differences between Mendeley and Twitter in the point of user demographic, paper topic, paper content and journal distribution; Twitter is suitable to measure societal impact and Mendeley is suitable for the scholarly impact; there are regional differences in the popularity of different tools, when using an Altmetrics indicator it is necessary to consider if it could reveal the paper impact comprehensively.

Key words: Altmetrics, Mendeley, Twitter, bibliometrics

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