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Evolutionary Bioinformatics


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Evolutionary Bioinformatics Analytics

Journal impact factor

The 2014 Journal Citation Reports impact factor for Evolutionary Bioinformatics is 1.452, increased from 1.169 in 2013.  Provided by Thomson-ISI, JCR impact factors are the only official impact factors.

Journal metrics

Journal metrics data is obained from the SCImago Journal and Country Rank service based on data from Scopus.  The SJR indicator measures the scientific influence of an average article in the journal.  The cites per document indicator measures the scientific impact of an average article published in the journal.  Although the cites per document indicator is calculated with the same formula as the journal impact factor it should not be considered to be a substitute for an official Thomson-ISI impact factor.  Additional data and further information on this data is available from SCImago.

SCImago Journal & Country Rank

Article usage metrics

Article metrics are available for all articles within approximately 72 hours following publication.  Article metrics are based on data collected on the journal's website and where applicable also from Pubmed Central.  Metrics include HTML and PDF views, views per month, and views per geographical region.  To view this data go to the article's abstract and select the Article Metrics tab.



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What Your Colleagues Say About Evolutionary Bioinformatics
I must say publishing with Evolutionary Bioinformatics was a great and partially unexpected experience.  It allowed me to understand the name 'Libertas Academica' is not just a name but a real issue.  The reviewers offered us stringent, rigorous but totally unprejudiced comments, the editor supported us and the paper visibility was very good.  Thank you again.
Dr Alessandro Giuliani (Istituto Superiore di Sanità, Roma, Italy)
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