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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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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 4,624)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

7 blogs
136 tweeters
3 Facebook pages
1 Wikipedia page
2 Google+ users


8 Dimensions

Readers on

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

Daniel R Shanahan


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.

Twitter Demographics

The data shown below were collected from the profiles of 136 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
United Kingdom 1 3%
Canada 1 3%
Unknown 28 88%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 5 16%
Student > Master 5 16%
Student > Ph. D. Student 5 16%
Researcher 4 13%
Student > Bachelor 2 6%
Other 8 25%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 10 31%
Computer Science 5 16%
Social Sciences 4 13%
Engineering 3 9%
Agricultural and Biological Sciences 3 9%
Other 3 9%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 135. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 December 2020.
All research outputs
of 17,489,166 outputs
Outputs from Trials
of 4,624 outputs
Outputs of similar age
of 232,661 outputs
Outputs of similar age from Trials
of 1 outputs
Altmetric has tracked 17,489,166 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,624 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 232,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them