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Bioinformatics Advance Access originally published online on September 3, 2009
Bioinformatics 2009 25(22):3038-3039; doi:10.1093/bioinformatics/btp529
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© Published by Oxford University Press on behalf of the US Government 2009. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Identifying related journals through log analysis

Zhiyong Lu *, Natalie Xie and W. John Wilbur

National Center for Biotechnology Information (NCBI), 8600 Rockville Pike, Bethesda, MD 20852, USA

*To whom correspondence should be addressed.


  Abstract

Motivation: With the explosion of biomedical literature and the evolution of online and open access, scientists are reading more articles from a wider variety of journals. Thus, the list of core journals relevant to their research may be less obvious and may often change over time. To help researchers quickly identify appropriate journals to read and publish in, we developed a web application for finding related journals based on the analysis of PubMed log data.

Availability: http://www.ncbi.nlm.nih.gov/IRET/Journals

Contact: luzh{at}ncbi.nlm.nih.gov

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: Alfonso Valencia

Received on June 16, 2009; revised on August 12, 2009; accepted on August 31, 2009

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