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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Age- and gender-specific population attributable risks of metabolic disorders on all-cause and cardiovascular mortality in Taiwan

  • Wuan-Szu Wang1,
  • Mark L Wahlqvist2,
  • Chih-Cheng Hsu2,
  • Hsing-Yi Chang2,
  • Wan-Chi Chang1 and
  • Chu-Chih Chen1Email author
BMC Public Health201212:111

DOI: 10.1186/1471-2458-12-111

Received: 17 June 2011

Accepted: 10 February 2012

Published: 10 February 2012

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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
17 Jun 2011 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
29 Jul 2011 Reviewed Reviewer Report - Maria Grau
16 Aug 2011 Reviewed Reviewer Report - Juan J Cabre
21 Aug 2011 Reviewed Reviewer Report - Oleg Sidorenkov
31 Oct 2011 Author responded Author comments - Chu-Chih Chen
Resubmission - Version 3
31 Oct 2011 Submitted Manuscript version 3
7 Nov 2011 Reviewed Reviewer Report - Maria Grau
15 Nov 2011 Reviewed Reviewer Report - Juan J Cabre
29 Nov 2011 Reviewed Reviewer Report - Oleg Sidorenkov
Resubmission - Version 4
Submitted Manuscript version 4
13 Jan 2012 Author responded Author comments - Chu-Chih Chen
Resubmission - Version 5
13 Jan 2012 Submitted Manuscript version 5
Publishing
10 Feb 2012 Editorially accepted
10 Feb 2012 Article published 10.1186/1471-2458-12-111

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)
Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes
(2)
Division of Health Service Research and Preventive Medicine, Institute of Population Health Sciences, National Health Research Institutes

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