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Open Peer Review

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The role of cervical Electrical Impedance Spectroscopy in the prediction of the course and outcome of induced labour

BMC Pregnancy and Childbirth20099:40

DOI: 10.1186/1471-2393-9-40

Received: 12 March 2009

Accepted: 2 September 2009

Published: 2 September 2009

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
12 Mar 2009 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
Resubmission - Version 3
Submitted Manuscript version 3
12 Mar 2009 Author responded Author comments - Dilly Anumba
Resubmission - Version 4
12 Mar 2009 Submitted Manuscript version 4
18 May 2009 Author responded Author comments - Dilly Anumba
Resubmission - Version 5
18 May 2009 Submitted Manuscript version 5
19 May 2009 Reviewed Reviewer Report - Peng Chiong Tan
4 Jun 2009 Reviewed Reviewer Report - Linas Rovas
21 Jul 2009 Author responded Author comments - Dilly Anumba
Resubmission - Version 6
21 Jul 2009 Submitted Manuscript version 6
26 Aug 2009 Author responded Author comments - Dilly Anumba
Resubmission - Version 7
26 Aug 2009 Submitted Manuscript version 7
Publishing
2 Sep 2009 Editorially accepted
2 Sep 2009 Article published 10.1186/1471-2393-9-40

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)
Academic Unit of Reproductive and Developmental Medicine, University of Sheffield and Sheffield Teaching Hospitals NHS Trust
(2)
Department of Medical Physics and Engineering, University of Sheffield and Sheffield Teaching Hospitals NHS Trust

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