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Peer2ref: a peer-reviewer finding web tool that uses author disambiguation

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Item Type:Review
Title:Peer2ref: a peer-reviewer finding web tool that uses author disambiguation
Creators Name:Andrade-Navarro, M.A. and Palidwor, G.A. and Perez-Iratxeta, C.
Abstract:BACKGROUND: Reviewer and editor selection for peer review is getting harder for authors and publishers due to the specialization onto narrower areas of research carried by the progressive growth of the body of knowledge. Examination of the literature facilitates finding appropriate reviewers but is time consuming and complicated by author name ambiguities. RESULTS: We have developed a method called peer2ref to support authors and editors in selecting suitable reviewers for scientific manuscripts. Peer2ref works from a text input, usually the abstract of the manuscript, from which important concepts are extracted as keywords using a fuzzy binary relations approach. The keywords are searched on indexed profiles of words constructed from the bibliography attributed to authors in MEDLINE. The names of these scientists have been previously disambiguated by coauthors identified across the whole MEDLINE. The methods have been implemented in a web server that automatically suggests experts for peer-review among scientists that have authored manuscripts published during the last decade in more than 3,800 journals indexed in MEDLINE. CONCLUSION: peer2ref web server is publicly available at http://www.ogic.ca/projects/peer2ref/.
Keywords:Publishing, Information Storage and Retrieval, MEDLINE, Peer Review, Research, Natural Language Processing
Source:BioData Mining
ISSN:1756-0381
Publisher:BioMed Central (U.K.)
Volume:5
Number:1
Page Range:14
Date:7 September 2012
Official Publication:https://doi.org/10.1186/1756-0381-5-14
PubMed:View item in PubMed

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