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Using text mining for study identification in systematic reviews: a systematic review of current approaches

  • Alison O’Mara-Eves1,
  • James Thomas1Email author,
  • John McNaught2,
  • Makoto Miwa3 and
  • Sophia Ananiadou2
Systematic Reviews20154:5

Received: 7 September 2014

Accepted: 10 December 2014

Published: 14 January 2015

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Open Peer Review reports

Pre-publication versions of this article are available by contacting

Original Submission
7 Sep 2014 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Reviewed Reviewer Report
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Author responded Author comments
Resubmission - Version 3
Submitted Manuscript version 3
10 Dec 2014 Editorially accepted
14 Jan 2015 Article published 10.1186/2046-4053-4-5

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting

You can find further information about the peer review system here.

Authors’ Affiliations

Evidence for Policy and Practice Information and Coordinating (EPPI)-Centre, Social Science Research Unit, UCL Institute of Education, University of London, London, UK
The National Centre for Text Mining and School of Computer Science, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
Toyota Technological Institute, Nagoya, Japan