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New Technology of Library and Information Service  2016, Vol. 32 Issue (7-8): 94-100    DOI: 10.11925/infotech.1003-3513.2016.07.12
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New Method to Evaluate Academic Journals: Case Study of Mathematics Journals
Yu Liping()
Research Centre of Urban Economy, Business School of Ningbo University, Ningbo 315211, China
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[Objective] This paper evaluates academic journals with the help of their source indexes and impact indicators. [Methods] We collected data from the Journal Citation Report (JCR) in 2015 for Mathematics ones, and then conducted canonical correlation analysis with the data. [Results] Firstly, eigenfactor was the major indicator of the influence of journals. Secondly, the journal source indexes and impact indicators were significantly correlated with each other. Thirdly, total citation numbers, citation half-life, journal impact factors and journal impact factor percentile had higher contribution to the eigenfactor. Fourthly, impact indicators contain more information than the source indexes. [Limitations] More research is needed to investigate the relationship between the source indexes and impact indicators. [Conclusions] The impact indicators are more important than the source indexes. We need to increase the eigenfactor score and the weight of normalized eigenfactor. We should also decrease the weights of impact factor without journal self citations, 5-year impact factor and immediacy index.

Key wordsAcademic journals      Source indexes      Impact indicators      Canonical correlation analysis      Evaluation     
Received: 21 March 2016      Published: 29 September 2016

Cite this article:

Yu Liping. New Method to Evaluate Academic Journals: Case Study of Mathematics Journals. New Technology of Library and Information Service, 2016, 32(7-8): 94-100.

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