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SCImago Journal & Country Rank (SJR) as an alternative to Thomson Reuters's Impact Factor and EigenFactor.

In recent years new metrics have emerged which quantify different aspects of a journal's performance relative to its peers. Two such examples, the EigenFactor and the SCImago Journal Rank Indicator, use broadly the same methodology as each other, but different sources of raw citation data, to provide their rankings. Their analysis relies on eigenvector algorithms, which, simply put, allow for the quality of the citing source to be factored into the ranking equation, rather than simply the number of citations. For instance, a citation from a more prestigious journal will carry more weight than a citation from a less prestigious source.
While the general theories behind the creation of the EigenFactor and the SCImago Journal Rank Indicator indices are comparable (albeit entirely impenetrable in detail), the sources of the citation data differ. EigenFactor, as with the Impact Factor, is based upon citations within the ISI universe of citing sources. Only a subset of scholarly output is indexed by ISI, who indexes approximately 8,700 titles in their Web of Science product, of which the vast majority are journals. Citations from journals not indexed in the ISI universe do not contribute to the Impact Factor or to EigenFactor. The SCImago Journal Rank Indicator is not based on ISI data, but is based on data from the Scopus citation index. Scopus covers approximately 15,000 journals and, like Web of Science, is multidisciplinary in natureā€¦ (Craig,I. Impact Factors, Eigenvectors and other Metrics. ISMTE-EON, August, 2008.)

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