F1000Research now visible on PubMed and PubMed Central

Posted by Rebecca Lawrence, 12 December 2013

We are pleased to announce that a large proportion of our articles are now visible on PubMed and PubMed Central (PMC). We have been working closely for the past few months with the National Library of Medicine (NLM) on how best to represent our articles within PubMed and PMC due to our novel publishing model. Our approach aims to bring complete openness and transparency to the publishing process to remove the standard publication delays and significantly reduce referee and publication bias.  The time and effort spent in working through the issues relating to the indexing of this new way of communicating scientific findings will help to lead the way for the increasing number of other publishers who are now starting to work towards similar approaches to publication.

PMC article Lumsden

F1000Research’s Open Science publishing process uses rapid publication (following an editorial pre-publication check) followed by open, formal and invited peer review, where all the referee names and their referee reports are published alongside the article. Authors can revise their articles, referees can reassess the revisions, and once the articles achieve an agreed level (with NLM, Scopus and others) of positive peer review, the articles are then indexed by PubMed, PMC, Scopus and other major bibliographic databases. Additionally, we require authors to include the data underlying the results discussed in their articles to enable attempts at reproducibility and data reuse.

This publishing model has led us to develop a new automatic way of creating the article metadata, enabling automatic and immediate updating of the article XML and PDF as new referee reports and comments come in. Our referee reports, author responses and underlying data will be additionally accessible through PMC, and updated in line with updates and additions on our site. This provides Open Access journals with an invaluable central archive for the data underlying their articles, just as PMC has done for the articles themselves to-date, paving the way for a more robust way to archive full-text biomedical literature and the increasing range of associated rich article metadata. It also provides referees with extended visibility and credit for their time and effort in refereeing our articles.

Referee report

As with all major advancements, there are still some areas where we need to continue to work alongside NLM and other indexers (and other publishers as they work towards this approach) to refine the way certain aspects of the articles are displayed. However, we are pleased with the progress so far in the rendering of these more novel elements of publication.

Of course, due to our post-publication peer review model, not every article we publish will be indexed by PubMed and PMC; only those that receive at least 2 ‘Approved’ statuses from the referees, or 1 ‘Approved’ status plus 2 ‘Approved with Reservations’ statuses will appear.

Referee symbols

An initial large batch of our articles is now visible on PubMed and PMC and from now on, as new articles become ‘indexed’ on our site, they will be immediately deposited with NLM for processing.  We are now working through the rest of our back catalogue so that all articles that have achieved the necessary positive peer review status will become indexed and visible in the coming few weeks.

We would like to extend our thanks to all our existing authors for their patience while we worked through the complexities of these issues with NLM. We are extremely grateful for the support of these early adopters of our publishing approach, without whom our achievements thus far wouldn’t have been possible.

F1000Research is an original open science publishing platform for life scientists that offers immediate open access publication, transparent post-publication peer review by invited referees, and full data deposition and sharing. F1000Research accepts all scientifically sound articles, including single findings, case reports, protocols, replications, null/negative results, and more traditional articles.

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