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The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations

Overview of attention for article published in BMC Medical Research Methodology, December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
Summary Twitter Dimensions citations
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Title
The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations
Published in
BMC Medical Research Methodology, December 2021
DOI 10.1186/s12874-021-01485-6
Pubmed ID
34922458
Authors

Didi Surian, Florence T. Bourgeois, Adam G. Dunn

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 14 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 %
Student > Doctoral Student 2 29%
Researcher 1 14%
Librarian 1 14%
Unknown 3 43%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Computer Science 1 14%
Social Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 March 2022.
All research outputs
#4,121,051
of 23,312,088 outputs
Outputs from BMC Medical Research Methodology
#670
of 2,057 outputs
Outputs of similar age
#97,661
of 505,065 outputs
Outputs of similar age from BMC Medical Research Methodology
#18
of 54 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 67% 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 505,065 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 80% of its contemporaries.
We're also able to compare this research output to 54 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 66% of its contemporaries.

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