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Eigenfactor Journal Ranking Web Site
- To: liblicense-l@lists.yale.edu
- Subject: Eigenfactor Journal Ranking Web Site
- From: Dennis Dillon <dillon@mail.utexas.edu>
- Date: Thu, 22 Mar 2007 17:38:41 EDT
- Reply-to: liblicense-l@lists.yale.edu
- Sender: owner-liblicense-l@lists.yale.edu
...Publicized with permission from site developer, Carl Bergstrom. Eigenfactor http://www.eigenfactor.org ranks journals much as Google ranks websites. Scholarly references join journals together in a vast network of citations. Eigenfactor uses the structure of the entire network to evaluate the importance of each journal. The website provides influence rankings for 7000+ science and social science journals and rankings for an additional 110,000+ reference items including newspapers, and popular magazines. "Borrowing methods from network theory, eigenfactor.org ranks the influence of journals much as Google's PageRank algorithm ranks the influence of web pages [2]. By this approach, journals are considered to be influential if they are cited often by other influential journals. Iterative ranking schemes of this type, known as eigenvector centrality methods [3], are notoriously sensitive to "dangling nodes" and "dangling clusters": nodes or groups of nodes which link seldom if at all to other parts of the network. Eigenfactor modifies the basic eigenvector centrality algorithm to overcome these problems and to better handle certain peculiarities of journal citation data." "Different disciplines have different standards for citation and different time scales on which citations occur. The average article in a leading cell biology journal might receive 10-30 citations within two years; the average article in leading mathematics journal would do very well to receive 2 citations over the same period. By using the whole citation network, Eigenfactor automatically accounts for these differences and allows better comparison across research areas." "Eigenfactor.org is a non-commercial academic research project sponsored by the Bergstrom lab in the Department of Biology at the University of Washington. We aim to develop novel methods for evaluating the influence of scholarly periodicals and for mapping the structure of academic research. We are committed to sharing our findings with interested members of the public, including librarians, journal editors, publishers, and authors of scholarly articles." The Eigenfactor Web site http://www.eigenfactor.org is still under development. -- Dennis Dillon Associate Director for Research Services University of Texas Libraries, University of Texas at Austin P.O. Box P Austin, Texas 78713-8916 512/495-4269 FAX: 512/495-4347
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