Journal Impact Factor Versus Eigenfactor and Article Influence
AbstractThis paper examines the practical usefulness of two new journal performance metrics, namely the Eigenfactor score, which is said to measure "importance", and Article Influence score, which is said to measure "prestige", using the most recent ISI data for 2009 for the 200 most highly cited journals in each of the Sciences and Social Sciences, and compares them with two existing ISI metrics, namely Total Citations and the 5-year Impact Factor (5YIF) of a journal. It is shown that the Sciences and Social Sciences are different in terms of the strength of the relationship of journal performance metrics, although the actual relationships are very similar. Moreover, the importance and prestige journal performance metrics are shown to be closely related to the two existing ISI metrics, and hence add little in practical usefulness to what is already known. These empirical results are compared with existing results in the literature.
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Bibliographic InfoPaper provided by Kyoto University, Institute of Economic Research in its series KIER Working Papers with number 737.
Date of creation: Nov 2010
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More information through EDIRC
Journal performance metrics; Research assessment measures; Total citations; 5-year impact factor (5YIF); Eigenfactor; Article influence; Importance; Prestige.;
Other versions of this item:
- Chang, C-L. & McAleer, M.J. & Oxley, L., 2010. "Journal Impect Factor Versus Eigenfactor and Article Influence," Econometric Institute Research Papers EI 2010-67, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "Journal Impact Factor Versus Eigenfactor and Article Influence," Working Papers in Economics 10/67, University of Canterbury, Department of Economics and Finance.
- A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-11-20 (All new papers)
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- Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2013. "Ranking Scientific Journals via Latent Class Models for Polytomous Item Response," EIEF Working Papers Series 1313, Einaudi Institute for Economics and Finance (EIEF), revised May 2013.
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