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Nucleic Acids Research Advance Access originally published online on April 22, 2007
Nucleic Acids Research 2007 35(Web Server issue):W12-W15; doi:10.1093/nar/gkm221
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Nucleic Acids Research, 2007, Vol. 35, No. suppl_2 W12-W15
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Articles

eTBLAST: a web server to identify expert reviewers, appropriate journals and similar publications

Mounir Errami1, Jonathan D. Wren2, Justin M. Hicks1 and Harold R. Garner1,*

1McDermott Center for Human Growth and Development and the Department for Translational Research, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9185 and 2Arthritis and Immunology Research Program, Oklahoma Medical Research Foundation; 825 N.E. 13th Street, Oklahoma City, Oklahoma 73104-5005, USA

*To whom correspondence should be addressed. Tel: 214 648 1661; Fax: 214 648 1445; Email: harold.garner{at}utsouthwestern.edu

Received January 29, 2007. Revised March 15, 2007. Accepted March 28, 2007.

Authors, editors and reviewers alike use the biomedical literature to identify appropriate journals in which to publish, potential reviewers for papers or grants, and collaborators (or competitors) with similar interests. Traditionally, this process has either relied upon personal expertise and knowledge or upon a somewhat unsystematic and laborious process of manually searching through the literature for trends. To help with these tasks, we report three utilities that parse and summarize the results of an abstract similarity search to find appropriate journals for publication, authors with expertise in a given field, and documents similar to a submitted query. The utilities are based upon a program, eTBLAST, designed to identify similar documents within literature databases such as (but not limited to) MEDLINE. These services are freely accessible through the Internet at http://invention.swmed.edu/etblast/etblast.shtml, where users can upload a file or paste text such as an abstract into the browser interface.


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