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A quantitative analysis of researcher citation personal display considering disciplinary differences and influence factors

Author

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  • Xingchen Li

    (University of Science and Technology of China)

  • Qiang Wu

    (University of Science and Technology of China)

  • Yuanyuan Liu

    (University of Science and Technology of China)

Abstract

Personal websites are a good place not only for the scientists to show a wealth of content, but also for researchers to excavate some useful information related to quantitative evaluation. Based on researchers’ personal websites this study aims to investigate the degree of citation personal display (CPD) in three major disciplines (chemistry, mathematics, and physics), as well as disciplinary differences in CPD. This paper also studies the factors which have influences on CPD by using binary logistic regression. The datasets studied consisted of 5771 researchers in 39 U.S. universities. Results show that CPD varies significantly by discipline, with chemistry researchers having the highest CPD (15.3%), followed by physics researchers (12.7%), and mathematics researchers (7.1%). The binary logistic models indicate that total citations, h-index, and citations per publication have significantly positive effects on CPD in chemistry; for mathematics, total citations and h-index do; and for physics, only total citations does (p

Suggested Citation

  • Xingchen Li & Qiang Wu & Yuanyuan Liu, 2017. "A quantitative analysis of researcher citation personal display considering disciplinary differences and influence factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1093-1112, November.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:2:d:10.1007_s11192-017-2501-0
    DOI: 10.1007/s11192-017-2501-0
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