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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
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
721 tweeters
facebook
5 Facebook pages

Citations

dimensions_citation
1 Dimensions
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 721 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 462. 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 16 September 2019.
All research outputs
#19,261
of 13,520,515 outputs
Outputs from Nature Medicine
#79
of 6,668 outputs
Outputs of similar age
#445
of 174,839 outputs
Outputs of similar age from Nature Medicine
#4
of 67 outputs
Altmetric has tracked 13,520,515 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 6,668 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.5. This one has done particularly well, scoring higher than 98% 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 174,839 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 67 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 94% of its contemporaries.