Network Download Index:An Alternative Solution to Lagging Citation Indicators#br#

Authors

Liping YU, 1.School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018 2.Collaborative Innovation Center of Statistical Data Engineering Technology and Application, Zhejiang Gongshang University, Hangzhou 310018
Meihua HUANG, School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018

Keywords

download factor; journal evaluation; network download indicators; citaation index; panel data model

Abstract

[Purpose/significance]As early as 1996, Garfield proposed the idea of using web downloads instead of citations for journal evaluation to improve timeliness, but the progress of its application needs to be improved. [Method/process]In this paper, we theoretically analyzed the reasons for this phenomenon, and analyzed the prerequisites for the download index to be used for journal evaluation starting from the connotation of download volume, and then comprehensively analyzed the relationship between download volume and citation based on panel data model, BP neural network and regression analysis, and proposed three evaluation indexes, immediate annual download factor, next year download factor and cumulative download factor, and analyzed their statistical characteristics. [Result/conclusion]The results show that: it is feasible to use the three network download indicators for journal evaluation; the three network download indicators cannot completely replace the citation indicators for evaluation; the network download indicators can effectively prevent the artificial control of the volume of articles; it is suggested to further optimize the basic data of the network download indicators.

First Page

10

Last Page

21

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2024.01.002

Recommended Citation

YU, Liping and HUANG, Meihua (2024) "Network Download Index:An Alternative Solution to Lagging Citation Indicators#br#," Scientific Information Research: Vol. 6: Iss. 1, Article 2.
DOI: 10.19809/j.cnki.kjqbyj.2024.01.002
Available at: https://eng.kjqbyj.com/journal/vol6/iss1/2

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