Journal Article

Identifying related journals through log analysis

Zhiyong Lu, Natalie Xie and W. John Wilbur

in Bioinformatics

Volume 25, issue 22, pages 3038-3039
Published in print November 2009 | ISSN: 1367-4803
Published online September 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp529

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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@ncbi.nlm.nih.gov

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1604 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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