title: Identifying related journals through log analysis.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  http://www.ncbi.nlm.nih.gov/IRET/Journals
authors.affiliation: National Center for Biotechnology Information (NCBI), 8600 Rockville Pike, Bethesda, MD 20852, USA. luzh@ncbi.nlm.nih.gov
authors.forename: Zhiyong
authors.initials: Z
authors.lastname: Lu
authors.forename: Natalie
authors.initials: N
authors.lastname: Xie
authors.forename: W John
authors.initials: WJ
authors.lastname: Wilbur
mesh_terms: D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D010506:Periodicals as Topic; D039781:PubMed; D011642:Publications