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JOURNAL

Biomedical Engineering and Computational Biology

31,791 Journal Article Views | Journal Analytics

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Biomedical Engineering and Computational Biology Analytics

world_map
Total Journal Article Views Views Downloads Totals
31,791
PubMed 0 0 0
Libertas   31,791 31,791
Totals 0 31,791 31,791
 
Most Read Article:
Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks
Totals 7,474 1,461 8,935
From October 15, 2009 to April 27, 2015
About Journal Metrics

This service is in beta and may be incomplete or contain minor discrepancies.  We welcome feedback from users.  To tell us what you think visit the survey form.

Journal metrics are simple aggregations of metrics for articles published in this journal.  Metrics are calculated from a variety of sources.  These sources and their known limitations are summarised here.

Total journal views and downloads by month are derived from internal data and usually also Pubmed Central data.  Internal data is recorded in accordance with Project COUNTER Release 3, which is used by many publishers to ensure that visibility data is credible and reliable for readers.  It excludes automated search engine and archiving visits or downloads and rapid sequences of views or downloads to prevent accidental or intentional manipulation of data.  

Prior to September 2008 COUNTER data was not collected and prior to January 2011 views and downloads were not recorded separately.  Views by region are also derived from COUNTER data and because data on geographical region is not always available discrepancies may exist between quantities shown on the map and the table.

Pubmed Central data is only shown where the journal is present on PMC and articles' PMC identifying numbers are recorded in our database.  Owing to PMC limitations data is updated once monthly and is not available prior to September 2010.  



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What Your Colleagues Say About Libertas Academica
The publication of our paper in Bioinformatics and Biology Insights was highly professional and very pleasant on all levels: the guidelines for authors are concise, the online submission system is user-friendly, the comments from the reviewers were insightful and improved our paper, and the preparation of the manuscript for publication was efficient. I particularly liked the fast feedback from the staff on the state of the submission and review process.
Professor Werner Braun (Department of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, Texas, USA)
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