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Large language models propagate race-based medicine

Overview of attention for article published in npj Digital Medicine, October 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 1,186)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
174 news outlets
blogs
6 blogs
twitter
250 X users
facebook
2 Facebook pages
reddit
2 Redditors

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Large language models propagate race-based medicine
Published in
npj Digital Medicine, October 2023
DOI 10.1038/s41746-023-00939-z
Pubmed ID
Authors

Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg, Roxana Daneshjou

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 250 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 10%
Student > Ph. D. Student 6 8%
Student > Postgraduate 5 7%
Student > Doctoral Student 4 6%
Professor 4 6%
Other 14 19%
Unknown 32 44%
Readers by discipline Count As %
Computer Science 9 13%
Medicine and Dentistry 9 13%
Social Sciences 3 4%
Psychology 3 4%
Nursing and Health Professions 2 3%
Other 11 15%
Unknown 35 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1493. 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 03 October 2024.
All research outputs
#8,550
of 26,793,597 outputs
Outputs from npj Digital Medicine
#2
of 1,186 outputs
Outputs of similar age
#189
of 375,361 outputs
Outputs of similar age from npj Digital Medicine
#1
of 63 outputs
Altmetric has tracked 26,793,597 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 53.9. This one has done particularly well, scoring higher than 99% 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 375,361 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.