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Brief Communication
Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?
Article first published online: 5 AUG 2008
DOI: 10.1002/asi.20943
© 2008 ASIS&T
Issue
Journal of the American Society for Information Science and Technology
Volume 59, Issue 13, pages 2186–2188, November 2008
Additional Information
How to Cite
Davis, P. M. (2008), Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?. J. Am. Soc. Inf. Sci., 59: 2186–2188. doi: 10.1002/asi.20943
Publication History
- Issue published online: 27 OCT 2008
- Article first published online: 5 AUG 2008
- Manuscript Accepted: 9 JUL 2008
- Manuscript Revised: 8 JUL 2008
- Manuscript Received: 13 JUN 2008
- Abstract
- Article
- References
- Cited By
Abstract
Eigenfactor.org, a journal evaluation tool that uses an iterative algorithm to weight citations (similar to the PageRank algorithm used for Google), has been proposed as a more valid method for calculating the impact of journals. The purpose of this brief communication is to investigate whether the principle of repeated improvement provides different rankings of journals than does a simple unweighted citation count (the method used by the Institute for Scientific Information@ [ISI]).