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Implementation Science

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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Predicting evidence-based treatment sustainment: results from a longitudinal study of the Adolescent-Community Reinforcement Approach

  • Sarah B. Hunter1Email author,
  • Bing Han1,
  • Mary E. Slaughter2,
  • Susan H. Godley3 and
  • Bryan R. Garner4
Implementation Science201712:75

https://doi.org/10.1186/s13012-017-0606-8

Received: 6 March 2017

Accepted: 5 June 2017

Published: 13 June 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
6 Mar 2017 Submitted Original manuscript
31 Mar 2017 Reviewed Reviewer Report - Shanon Witsey Stirman
5 Apr 2017 Reviewed Reviewer Report - Lawrence Palinkas
5 May 2017 Author responded Author comments - Sarah Hunter
Resubmission - Version 2
5 May 2017 Submitted Manuscript version 2
13 May 2017 Reviewed Reviewer Report - Lawrence Palinkas
23 May 2017 Reviewed Reviewer Report - Shanon Witsey Stirman
31 May 2017 Author responded Author comments - Sarah Hunter
Resubmission - Version 3
31 May 2017 Submitted Manuscript version 3
Publishing
5 Jun 2017 Editorially accepted
13 Jun 2017 Article published 10.1186/s13012-017-0606-8

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)
RAND
(2)
RAND
(3)
Chestnut Health Systems
(4)
Research Triangle Institute

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