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A living document: reincarnating the research article

Overview of attention for article published in Trials, April 2015
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7 blogs
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120 X users
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3 Facebook pages
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1 Wikipedia page
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2 Google+ users

Citations

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15 Dimensions

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45 Mendeley
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1 CiteULike
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Title
A living document: reincarnating the research article
Published in
Trials, April 2015
DOI 10.1186/s13063-015-0666-5
Pubmed ID
Authors

Daniel R Shanahan

Abstract

The limitations of the traditional research paper are well known and widely discussed; however, rather than seeking solutions to the problems created by this model of publication, it is time to do away with a print era anachronism and design a new model of publication, with modern technology embedded at its heart. Instead of the current system with multiple publications, across multiple journals, publication could move towards a single, evolving document that begins with trial registration and then extends to include the full protocol and results as they become available, underpinned by the raw clinical data and all code used to obtain the result. This model would lead to research being evaluated prospectively, based on its hypothesis and methodology as stated in the study protocol, and move away from considering serendipitous results to be synonymous with quality, while also presenting readers with the opportunity to reliably evaluate bias or selective reporting in the published literature.

X Demographics

X Demographics

The data shown below were collected from the profiles of 120 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Canada 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Professor > Associate Professor 6 13%
Student > Ph. D. Student 6 13%
Researcher 5 11%
Student > Doctoral Student 3 7%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Computer Science 6 13%
Agricultural and Biological Sciences 4 9%
Social Sciences 4 9%
Nursing and Health Professions 3 7%
Other 6 13%
Unknown 12 27%