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Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study

Overview of attention for article published in PLoS ONE, March 2020
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
18 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study
Published in
PLoS ONE, March 2020
DOI 10.1371/journal.pone.0229999
Pubmed ID
Authors

Stephanie Archer, Chantal Babb de Villiers, Fiona Scheibl, Tim Carver, Simon Hartley, Andrew Lee, Alex P. Cunningham, Douglas F. Easton, Jennifer G. McIntosh, Jon Emery, Marc Tischkowitz, Antonis C. Antoniou, Fiona M. Walter

Twitter Demographics

The data shown below were collected from the profiles of 18 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 2 12%
Student > Master 2 12%
Professor 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 7 41%
Readers by discipline Count As %
Chemistry 2 12%
Nursing and Health Professions 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Psychology 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 9 53%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 15 October 2020.
All research outputs
#1,098,044
of 16,061,552 outputs
Outputs from PLoS ONE
#16,278
of 158,190 outputs
Outputs of similar age
#30,178
of 260,492 outputs
Outputs of similar age from PLoS ONE
#27
of 116 outputs
Altmetric has tracked 16,061,552 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 158,190 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done well, scoring higher than 89% 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 260,492 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 88% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.