Ten good reasons to use the Eigenfactor™ metrics

The Eigenfactor score is a journal influence metric developed at the Department of Biology of the University of Washington and recently introduced in the Science and Social Science Journal Citation Reports maintained by Thomson Reuters. It provides a compelling measure of journal status with solid m...

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Bibliographic Details
Published in:Information processing & management 2010-09, Vol.46 (5), p.555-558
Main Author: Franceschet, Massimo
Format: Article
Language:English
Subjects:
Bibliometrics
Biology
Eigenfactor metrics
Eigenvalues
Foundations
Impact Factor
Impact factors
Information management
Journal influence measures
Management
Mathematical analysis
Ranking
Scholarly publishing
Sound
Stochastic models
Stochasticity
Studies
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Summary:The Eigenfactor score is a journal influence metric developed at the Department of Biology of the University of Washington and recently introduced in the Science and Social Science Journal Citation Reports maintained by Thomson Reuters. It provides a compelling measure of journal status with solid mathematical background, sound axiomatic foundation, intriguing stochastic interpretation, and many interesting relationships to other ranking measures. In this short contribution, we give 10 reasons to motivate the use of the Eigenfactor method.
ISSN:0306-4573
1873-5371
DOI:10.1016/j.ipm.2010.01.001