This article has Open Peer Review reports available.
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends
© Mohammed et al.; licensee BioMed Central Ltd. 2014
Received: 5 June 2014
Accepted: 18 October 2014
Published: 29 October 2014
Open Peer Review reports
Pre-publication versions of this article and author comments to reviewers are available by contacting email@example.com.
|5 Jun 2014||Submitted||Original manuscript|
|23 Aug 2014||Reviewed||Reviewer Report - Andrea Omicini|
|12 Sep 2014||Author responded||Author comments - Emad Mohammed|
|Resubmission - Version 2|
|12 Sep 2014||Submitted||Manuscript version 2|
|14 Oct 2014||Reviewed||Reviewer Report - Andrea Omicini|
|Resubmission - Version 3|
|Submitted||Manuscript version 3|
|18 Oct 2014||Editorially accepted|
|29 Oct 2014||Article published||10.1186/1756-0381-7-22|
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 firstname.lastname@example.org. 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.