Research
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Open Peer Review
Using text mining for study identification in systematic reviews: a systematic review of current approaches
Systematic Reviews20154:5
https://doi.org/10.1186/2046-4053-4-5
© O’Mara-Eves et al.; licensee BioMed Central. 2015
Received: 7 September 2014
Accepted: 10 December 2014
Published: 14 January 2015
Open Peer Review reports
Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.
| 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 | |
| Publishing | ||
|---|---|---|
| 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 and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.
You can find further information about the peer review system here.
Authors’ Affiliations
(1)
Evidence for Policy and Practice Information and Coordinating (EPPI)-Centre, Social Science Research Unit, UCL Institute of Education, University of London
(2)
The National Centre for Text Mining and School of Computer Science, Manchester Institute of Biotechnology, University of Manchester
(3)
Toyota Technological Institute
