会议专题

Chinese Academic Journals Evaluation Method and Application

In this paper, we firstly use journal data in CSCD to screen key indicators for journals evaluation by correlation analysis; then we package large-scale journal data by interval data analysis method and demonstrate the overall data set information through visual tools. Meanwhile, we construct comprehensive evaluation index structure by principal component analysis and sort journals in Chemical Sciences to show the effectiveness and practicality of this evaluation method. Finally, based on analysis results and combined with the development of Chinese academic journals, this paper proposes policy recommendation for evaluation management of academic journal.

journal evaluation interval data PCA correlation analysis

HU Yao WANG Huiwen ZHANG Yin

School of Economics and Management, Beihang University, P.R.China, 100191

国际会议

The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

威海

英文

429-433

2010-07-24(万方平台首次上网日期,不代表论文的发表时间)