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Accounting for diversity in AI for medicine

Overview of attention for article published in Computer Law & Security Review, November 2022
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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 (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
129 Mendeley
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Title
Accounting for diversity in AI for medicine
Published in
Computer Law & Security Review, November 2022
DOI 10.1016/j.clsr.2022.105735
Authors

Eduard Fosch-Villaronga, Hadassah Drukarch, Pranav Khanna, Tessa Verhoef, Bart Custers

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 5%
Lecturer 6 5%
Student > Bachelor 6 5%
Researcher 5 4%
Student > Ph. D. Student 5 4%
Other 17 13%
Unknown 84 65%
Readers by discipline Count As %
Unspecified 6 5%
Business, Management and Accounting 6 5%
Computer Science 6 5%
Social Sciences 5 4%
Engineering 4 3%
Other 14 11%
Unknown 88 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 June 2023.
All research outputs
#3,397,561
of 25,392,582 outputs
Outputs from Computer Law & Security Review
#108
of 529 outputs
Outputs of similar age
#69,023
of 440,740 outputs
Outputs of similar age from Computer Law & Security Review
#4
of 11 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 79% 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 440,740 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 84% of its contemporaries.
We're also able to compare this research output to 11 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 63% of its contemporaries.