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Do no harm: a roadmap for responsible machine learning for health care

Overview of attention for article published in Nature Medicine, August 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 (#43 of 6,837)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
33 news outlets
blogs
2 blogs
twitter
741 tweeters
facebook
5 Facebook pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
211 Mendeley
Title
Do no harm: a roadmap for responsible machine learning for health care
Published in
Nature Medicine, August 2019
DOI 10.1038/s41591-019-0548-6
Pubmed ID
Authors

Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Vincent X. Liu, Finale Doshi-Velez, Kenneth Jung, Katherine Heller, David Kale, Mohammed Saeed, Pilar N. Ossorio, Sonoo Thadaney-Israni, Anna Goldenberg

Twitter Demographics

The data shown below were collected from the profiles of 741 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 23%
Student > Ph. D. Student 42 20%
Student > Master 19 9%
Student > Bachelor 14 7%
Student > Doctoral Student 14 7%
Other 34 16%
Unknown 39 18%
Readers by discipline Count As %
Medicine and Dentistry 37 18%
Computer Science 28 13%
Biochemistry, Genetics and Molecular Biology 22 10%
Engineering 20 9%
Agricultural and Biological Sciences 9 4%
Other 38 18%
Unknown 57 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 740. 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 17 February 2020.
All research outputs
#8,527
of 14,376,034 outputs
Outputs from Nature Medicine
#43
of 6,837 outputs
Outputs of similar age
#335
of 255,168 outputs
Outputs of similar age from Nature Medicine
#3
of 98 outputs
Altmetric has tracked 14,376,034 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 6,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. 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 255,168 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 98 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 96% of its contemporaries.