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Application of weighting methods for presenting risk-of-bias assessments in systematic reviews of diagnostic test accuracy studies

Overview of attention for article published in Systematic Reviews, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
10 tweeters

Readers on

mendeley
4 Mendeley
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Title
Application of weighting methods for presenting risk-of-bias assessments in systematic reviews of diagnostic test accuracy studies
Published in
Systematic Reviews, June 2021
DOI 10.1186/s13643-021-01744-z
Authors

Yasaman Vali, Mariska M. G. Leeflang, Patrick M. M. Bossuyt

Twitter Demographics

The data shown below were collected from the profiles of 10 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Student > Postgraduate 1 25%
Readers by discipline Count As %
Medicine and Dentistry 3 75%
Nursing and Health Professions 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 June 2021.
All research outputs
#4,656,771
of 19,839,988 outputs
Outputs from Systematic Reviews
#833
of 1,757 outputs
Outputs of similar age
#90,328
of 338,517 outputs
Outputs of similar age from Systematic Reviews
#1
of 1 outputs
Altmetric has tracked 19,839,988 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 52% 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 338,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% 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