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well-formed . eigenfactor

Visualization This visualization displays a hierarchical clustering of journals in the form of a treemap. The size of a journal marker corresponds to its Eigenfactor™ Score. Click one of the squares in order to see the amount of citation flow from other journals. The black arrow indicates outgoing citation flow (from the selected journal), the white one incoming citations. The arrow size indicates the amount of citation flow.

Data set We use a subset of the citation data from Thomson Reuters' Journal Citation Reports 1997–2005. The complete data aggregate, at the journal level, approximately 60,000,000 citations from more than 7000 journals over the past decade. For an interesting subset, we select journals ordered by their Article Influence™ in 2005, but include no more than 25 journals from a single field. To make the subset coherent, we make sure that selected journals are included all years and that we cover the 10 journals with highest Eigenfactor™ score. To cluster the networks, we use the information-theoretic method presented in Maps of information flow reveal community structure in complex networks ( PNAS 105, 1118 (2008)), which can reveal regularities of information flow across directed and weighted networks.