Application of principal component analysis in journal evaluation

DOI

10.2991/iiicec-15.2015.5How to use a DOI?

Keywords

scientific and technical journals; journal evaluation; principal component analysis; statistical computation

Abstract

An evaluation method on scientific and technical journals based on principal component analysis is applied to deal with the relevance between various indices of 17 mathematical core journals. In order to choose index of quantitative evaluation of domestic mathematics journals which can provide a quantitative reference for journal evaluation based on Chinese scientific and technical papers and Citations Database (TPSTCD), using the index of measurement data in 2013, by principal component analysis method, the high quality mathematics domestic journals: 17 mathematical periodicals of 2011 edition Chinese core journals are analyzed and ranked. The results show that: the result by principal component analysis agrees with that of everyone in the eye, and the principal component analysis method is suitable for domestic high quality mathematics journals, and can be extended to quantitative evaluation of all domestic mathematics journals.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xuebing Wen
PY  - 2015/03
DA  - 2015/03
TI  - Application of principal component analysis in journal evaluation
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 18
EP  - 23
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.5
DO  - 10.2991/iiicec-15.2015.5
ID  - Wen2015/03
ER  -