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Unreported links between trial registrations and published articles were identified using document similarity measures in a cross-sectional analysis of ClinicalTrials.gov

Overview of attention for article published in Journal of Clinical Epidemiology, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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21 tweeters
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1 Facebook page

Readers on

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7 Mendeley
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Title
Unreported links between trial registrations and published articles were identified using document similarity measures in a cross-sectional analysis of ClinicalTrials.gov
Published in
Journal of Clinical Epidemiology, March 2018
DOI 10.1016/j.jclinepi.2017.12.007
Pubmed ID
Authors

Adam G. Dunn, Enrico Coiera, Florence T. Bourgeois

Abstract

Trial registries can be used to measure reporting biases and support systematic reviews but 45% of registrations do not provide a link to the article reporting on the trial. We evaluated the use of document similarity methods to identify unreported links between ClinicalTrials.gov and PubMed. We extracted terms and concepts from a dataset of 72,469 ClinicalTrials.gov registrations and 276,307 PubMed articles, and tested methods for ranking articles across 16,005 reported links and 90 manually-identified unreported links. Performance was measured by the median rank of matching articles, and the proportion of unreported links that could be found by screening ranked candidate articles in order. The best performing concept-based representation produced a median rank of 3 (IQR 1-21) for reported links and 3 (IQR 1-19) for the manually-identified unreported links, and term-based representations produced a median rank of 2 (1-20) for reported links and 2 (IQR 1-12) in unreported links. The matching article was ranked first for 40% of registrations, and screening 50 candidate articles per registration identified 86% of the unreported links. Leveraging the growth in the corpus of reported links between ClinicalTrials.gov and PubMed, we found that document similarity methods can assist in the identification of unreported links between trial registrations and corresponding articles.

Twitter Demographics

The data shown below were collected from the profiles of 21 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 29%
Student > Bachelor 1 14%
Lecturer 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Other 1 14%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Unspecified 2 29%
Computer Science 1 14%
Neuroscience 1 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 July 2018.
All research outputs
#1,374,291
of 12,381,538 outputs
Outputs from Journal of Clinical Epidemiology
#465
of 2,480 outputs
Outputs of similar age
#59,726
of 357,226 outputs
Outputs of similar age from Journal of Clinical Epidemiology
#24
of 55 outputs
Altmetric has tracked 12,381,538 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,480 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 81% 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 357,226 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.