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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 (#44 of 64,822)
  • 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
126 news outlets
blogs
25 blogs
policy
1 policy source
twitter
2281 tweeters
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages
reddit
4 Redditors

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
340 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 2,281 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 340 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 340 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 20%
Student > Ph. D. Student 67 20%
Student > Master 37 11%
Student > Doctoral Student 25 7%
Other 25 7%
Other 74 22%
Unknown 44 13%
Readers by discipline Count As %
Medicine and Dentistry 50 15%
Computer Science 35 10%
Social Sciences 31 9%
Engineering 18 5%
Biochemistry, Genetics and Molecular Biology 17 5%
Other 113 33%
Unknown 76 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 2799. 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 02 April 2020.
All research outputs
#489
of 14,567,399 outputs
Outputs from Science
#44
of 64,822 outputs
Outputs of similar age
#27
of 320,458 outputs
Outputs of similar age from Science
#4
of 891 outputs
Altmetric has tracked 14,567,399 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 64,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.4. 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 320,458 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.