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BMC Neurology

Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Transcranial doppler sonography is not a valid diagnostic tool for detection of basilar artery stenosis or in-stent restenosis: a retrospective diagnostic study

Contributed equally
BMC NeurologyBMC series – open, inclusive and trusted201717:89

https://doi.org/10.1186/s12883-017-0872-8

Received: 5 October 2016

Accepted: 6 May 2017

Published: 11 May 2017

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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
5 Oct 2016 Submitted Original manuscript
11 Dec 2016 Reviewed Reviewer Report - Sverre Rosenbaum
18 Dec 2016 Reviewed Reviewer Report - Elena Meseguer
1 Feb 2017 Author responded Author comments - Woori Koh
Resubmission - Version 2
1 Feb 2017 Submitted Manuscript version 2
19 Feb 2017 Reviewed Reviewer Report - Elena Meseguer
26 Feb 2017 Reviewed Reviewer Report - Sverre Rosenbaum
7 Mar 2017 Author responded Author comments - Woori Koh
Resubmission - Version 3
7 Mar 2017 Submitted Manuscript version 3
3 May 2017 Author responded Author comments - Woori Koh
Resubmission - Version 4
3 May 2017 Submitted Manuscript version 4
Publishing
6 May 2017 Editorially accepted
11 May 2017 Article published 10.1186/s12883-017-0872-8

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)
Department of Neurology, University of Goettingen
(2)
Department of Neuroradiology, University of Goettingen
(3)
Epidemiological and Statistical Methods, Department of Epidemiology, Helmholtz Centre for Infection Research

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