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Unintended Consequences of Machine Learning in Medicine

Overview of attention for article published in JAMA: Journal of the American Medical Association, August 2017
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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 (96th percentile)

Citations

dimensions_citation
308 Dimensions

Readers on

mendeley
586 Mendeley
citeulike
2 CiteULike
Title
Unintended Consequences of Machine Learning in Medicine
Published in
JAMA: Journal of the American Medical Association, August 2017
DOI 10.1001/jama.2017.7797
Pubmed ID
Authors

Federico Cabitza, Raffaele Rasoini, Gian Franco Gensini

Twitter Demographics

The data shown below were collected from the profiles of 840 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 586 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 586 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 114 19%
Researcher 98 17%
Student > Bachelor 58 10%
Student > Master 53 9%
Other 45 8%
Other 128 22%
Unknown 90 15%
Readers by discipline Count As %
Medicine and Dentistry 168 29%
Computer Science 75 13%
Engineering 40 7%
Social Sciences 30 5%
Agricultural and Biological Sciences 18 3%
Other 117 20%
Unknown 138 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 584. 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 01 October 2020.
All research outputs
#21,056
of 17,704,521 outputs
Outputs from JAMA: Journal of the American Medical Association
#586
of 29,561 outputs
Outputs of similar age
#691
of 276,726 outputs
Outputs of similar age from JAMA: Journal of the American Medical Association
#16
of 385 outputs
Altmetric has tracked 17,704,521 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 29,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.4. 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 276,726 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 385 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.