Study on Correlation of Researcher Influence Indicators

  • Wang Yan ,
  • Guo Shu ,
  • Zhang Jianyong
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  • 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093

Received date: 2015-01-15

  Revised date: 2015-02-17

  Online published: 2015-03-05

Abstract

[Purpose/significance] With the popularity of social network and the rise of open access movement under the environment of Web 2.0, researcher influence can be expressed as two aspects: Academic influence and social influence. At present, the number of evaluation indicators which can reflect researchers' social influence have reached more than 20, So there is an need for us to select the reasonable evaluation indicators, avoid the use of strong correlation ones and ultimately build an objective and fair evaluation index system of researcher influence.[Method/process] We collect the indicators and data provided by PlumX/Pitt tool, use the Spearman method and try to explore and analyze the correlation relationship between the indicators of researchers' academic influence and social influence, as well as correlation relationship between various indicators of social influence. [Result/conclusion] The results showed that in order to evaluate researcher influence comprehensively, social influence indicators should be added. And from the perspective of the data relevance, some indicators need to be adjusted.

Cite this article

Wang Yan , Guo Shu , Zhang Jianyong . Study on Correlation of Researcher Influence Indicators[J]. Library and Information Service, 2015 , 59(5) : 106 -112,127 . DOI: 10.13266/j.issn.0252-3116.2015.05.017

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