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Retraction

RETRACTION:  How blockchain-timestamped protocols could improve the trustworthiness of medical science

[version 1; peer review: not peer reviewed]
PUBLISHED 08 Jun 2017
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At the request of the authors Greg Irving and John Holden, the article titled “How blockchain-timestamped protocols could improve the trustworthiness of medical science” has been retracted from F1000Research. The authors have taken this decision after considering the methodological concerns raised by a peer reviewer during the post-publication open peer review process. As the methodology has been deemed to be unreliable, the article is now retracted. This applies to all three versions of the article: Irving G and Holden J. How blockchain-timestamped protocols could improve the trustworthiness of medical science [version 1; referees: 2 approved]. F1000Research 2016, 5:222 (doi: 10.12688/f1000research.8114.1) Irving G and Holden J. How blockchain-timestamped protocols could improve the trustworthiness of medical science [version 2; referees: 3 approved]. F1000Research 2016, 5:222 (doi: 10.12688/f1000research.8114.2) Irving G and Holden J. How blockchain-timestamped protocols could improve the trustworthiness of medical science [version 3; referees: 3 approved, 1 not approved]. F1000Research 2017, 5:222 (doi: 10.12688/f1000research.8114.3).

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Version 1
VERSION 1 PUBLISHED 08 Jun 2017
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Irving G and Holden J. RETRACTION:  How blockchain-timestamped protocols could improve the trustworthiness of medical science [version 1; peer review: not peer reviewed]. F1000Research 2017, 6:805 (https://doi.org/10.12688/f1000research.11888.1)
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Current Reviewer Status:
NOT PEER REVIEWED
NOT PEER REVIEWED

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Version 1
VERSION 1 PUBLISHED 08 Jun 2017
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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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