图书情报工作

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2014 , Vol. 58 >Issue 17: 119 - 124

DOI: https://doi.org/10.13266/j.issn.0252-3116.2014.17.018

情报研究

基于主成分分析的科学评价维度研究——以PLoS ONE为例

  • 宋丽萍 ,
  • 王建芳 ,
  • 刘芮
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  • 1. 天津师范大学管理学院;
    2. 中国科学院文献情报中心;
    3. 天津师范大学历史文化学院
宋丽萍，天津师范大学管理学院教授，博士，E-mail：slp-lp@163.com；王建芳，中国科学院文献情报中心副研究员，博士；刘芮，天津师范大学历史文化学院馆员，硕士。

收稿日期: 2014-04-24

  修回日期: 2014-08-01

  网络出版日期: 2014-09-05

基金资助

本文系国家社会科学基金项目“科技政策视角下科学评价指标及方法研究”（项目编号：12BTQ033）与教育部人文社会科学青年基金项目“基于群体智慧的微博客信息可信度评价机制研究”（项目编号：12YJC870025）研究成果之一。

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Study on Science Evaluation Dimensions Based on the Principal Component：A Case Study on PLoS ONE

  • Song Liping ,
  • Wang Jianfang ,
  • Liu Rui
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  • 1. Management School, Tianjin Normal University, Tianjin 300387;
    2. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    3. College of Historical Culture, Tianjin Normal University, Tianjin 300387

Received date: 2014-04-24

  Revised date: 2014-08-01

  Online published: 2014-09-05

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摘要

借助主成分分析，以PLoS ONE的Article-Level Metrics为数据源对物理学、化学、社会学、免疫学四学科的科学评价主要维度进行解析。分析表明一维空间的科学评价在覆盖50%信息的同时将损失其余的50%，3个维度才能以80%的精度描述论文的学术影响力，进而将科学评价的3个维度分别命名为引用维、共享维与利用维，从而说明以引用为基础的传统科学评价的片面性，并揭示科学评价的多维构成。

关键词： 主成分分析; 科学评价; PLoS ONE; Article-Level Metrics

本文引用格式

宋丽萍 , 王建芳 , 刘芮 . 基于主成分分析的科学评价维度研究——以PLoS ONE为例[J]. 图书情报工作, 2014 , 58(17) : 119 -124 . DOI: 10.13266/j.issn.0252-3116.2014.17.018

Abstract

The data of 1390 articles on physics, chemistry, sociology, immunology from Article-Level Metrics in PLoS ONE is collected and major dimensions of scientific evaluation are analyzed by virtue of principal components analysis. The results show that three dimensions can disclose 80% of the academic impact of scientific publications but one-dimensional space describes 50% of the information with the loss of the other 50%. The three dimensions are respectively named the dimension of citation, sharing and usage. Thus it reveals that the traditional citation-based assessment is biased, but the scientific impact evaluation has a multi-dimensional structure.

Key words： principal components analysis; scientific evaluation; PLoS ONE; Article-Level Metrics

参考文献

[1] Bollen J,Van de Sompel H, Hagberg A, et al. A principal component analysis of 39 scientific impact measures[J].PLoS ONE,2009,4(6):e6022.

[2] Jolliffe I T. Principal component analysis[M]. New York: Springer,2002:150-165.

[3] Lin J, Fenner M. The many faces of Article-Level Metrics[J].Bulletin of the Association for Information Science and Technology, 2013, 39(4):27-30.

[4] Wiley Open Access[EB/OL].[2014-02-17]. http://www.wileyopenaccess.com/view/index.html.

[5] Yan K K, Gerstein M. The spread of scientific Information: Insights from the Web usage statistics in PLoS Article-Level Metrics[J]. PLoS ONE, 2013, 6(5):e19917.

[6] Binfield P. PLoS One: Background, future development, and Article-Level Metrics[C]//ELPUB 2009 Conference on Electronic Publishing. Milan, Italy,2009: 69-86.

[7] Heather P. Altmetrics: Value all research products[J].Nature,2013,493(7431):159.

[8] Blaise C.Taking the measure of metrics:Interviews with four ASIS&T members[J].Bulletin of the American Society for Information Science and Technology,2012,38(6):33-38.

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