Machine learning methods to predict child posttraumatic stress: a proof of concept study
© The Author(s). 2017
Received: 16 May 2016
Accepted: 9 June 2017
Published: 10 July 2017
Open Peer Review reports
Pre-publication versions of this article and author comments to reviewers are available by contacting firstname.lastname@example.org.
|16 May 2016||Submitted||Original manuscript|
|16 Jul 2016||Reviewed||Reviewer Report - Richard Rowe|
|3 Nov 2016||Reviewed||Reviewer Report - Grete Dyb|
|3 Feb 2017||Reviewed||Reviewer Report - Fernando Perez-cruz-|
|4 Apr 2017||Author responded||Author comments - Glenn Saxe|
|Resubmission - Version 2|
|4 Apr 2017||Submitted||Manuscript version 2|
|9 May 2017||Reviewed||Reviewer Report - Richard Rowe|
|24 May 2017||Reviewed||Reviewer Report - Fernando Perez-cruz-|
|2 Jun 2017||Author responded||Author comments - Glenn Saxe|
|Resubmission - Version 3|
|2 Jun 2017||Submitted||Manuscript version 3|
|9 Jun 2017||Editorially accepted|
|10 Jul 2017||Article published||10.1186/s12888-017-1384-1|
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 email@example.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.