Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
524166 | Journal of Informetrics | 2009 | 9 Pages |
Abstract
This paper proposes a new method for indicator selection in panel data analysis and tests the method with relevant data on agricultural journals provided by the Institute of Scientific & Technical Information of China. An evaluation exercise by the TOPSIS method is conducted as a comparison. The result shows that panel data analysis is an effective method for indicator selection in scholarly journal evaluation; journals of different disciplines should not be evaluated with the same criteria; it is beneficial to publish all the evaluation indicators; unavailability of a few indicators has a limited influence on evaluation results; simplifying indicators can reduce costs and increase efficiency as well as accuracy of journal evaluation.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Liping Yu, Xiaoming Shen, Yuntao Pan, Yishan Wu,