Eigenfactor.org – Ranking and Mapping Scientific Knowledge
http://www.eigenfactor.org/

Eigenfactor 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 (instead of purely local citation information) to evaluate the importance of each journal. Eigenfactor contains 115,000 reference items. Eigenfactor not only ranks scholarly journals in the natural and social sciences, but also lists newsprint, PhD theses, popular magazines and more. In so doing, it more fairly values those journals bridging the gap between the social and natural sciences. Eigenfactor contains 115,000 reference items. Eigenfactor not only ranks scholarly journals in the natural and social sciences, but also lists newsprint, PhD theses, popular magazines and more. In so doing, it more fairly values those journals bridging the gap between the social and natural sciences. Eigenfactor corrects for differences in citation patterns across disciplines. 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 uses 5-year citation data. In many research areas, articles are not frequently cited until several years after publication. Therefore, measures that only look at citations in the first two years after publication can be be misleading. Eigenfactor is calculated based on the citations received over a five year period. Eigenfactor provides information about journal prices. In collaboration with journalprices.com, Eigenfactor provides information about price and value for thousands of scholarly periodicals. Eigenfactor is completely free and completely searchable. This has been added to the tools section of Research Resources Subject Tracer™ Information Blog. This has been added to Knowledge Discovery Subject Tracer™ Information Blog. This will be added to Academic and Scholar Search Engines and Sources white paper.