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Dissecting racial bias in an algorithm used to manage the health of populations

Overview of attention for article published in Science, October 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 63,825)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
119 news outlets
blogs
19 blogs
policy
1 policy source
twitter
2276 tweeters
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages
reddit
4 Redditors

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
274 Mendeley
Title
Dissecting racial bias in an algorithm used to manage the health of populations
Published in
Science, October 2019
DOI 10.1126/science.aax2342
Pubmed ID
Authors

Ziad Obermeyer, Brian Powers, Christine Vogeli, Sendhil Mullainathan

Twitter Demographics

The data shown below were collected from the profiles of 2,276 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 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 274 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 21%
Researcher 54 20%
Student > Master 29 11%
Other 20 7%
Student > Bachelor 17 6%
Other 72 26%
Unknown 25 9%
Readers by discipline Count As %
Medicine and Dentistry 43 16%
Computer Science 26 9%
Social Sciences 22 8%
Unspecified 20 7%
Biochemistry, Genetics and Molecular Biology 14 5%
Other 103 38%
Unknown 46 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2717. 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 20 January 2020.
All research outputs
#399
of 14,158,819 outputs
Outputs from Science
#39
of 63,825 outputs
Outputs of similar age
#27
of 315,543 outputs
Outputs of similar age from Science
#4
of 891 outputs
Altmetric has tracked 14,158,819 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 63,825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. 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 315,543 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 891 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 99% of its contemporaries.