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Direct-to-consumer medical machine learning and artificial intelligence applications

Overview of attention for article published in Nature Machine Intelligence, April 2021
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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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
3 blogs
twitter
91 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
36 Mendeley
Title
Direct-to-consumer medical machine learning and artificial intelligence applications
Published in
Nature Machine Intelligence, April 2021
DOI 10.1038/s42256-021-00331-0
Authors

Boris Babic, Sara Gerke, Theodoros Evgeniou, I. Glenn Cohen

Twitter Demographics

The data shown below were collected from the profiles of 91 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Researcher 6 17%
Student > Bachelor 4 11%
Student > Doctoral Student 4 11%
Student > Master 3 8%
Other 6 17%
Unknown 7 19%
Readers by discipline Count As %
Engineering 7 19%
Agricultural and Biological Sciences 4 11%
Computer Science 4 11%
Nursing and Health Professions 3 8%
Business, Management and Accounting 3 8%
Other 8 22%
Unknown 7 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 13 October 2021.
All research outputs
#449,263
of 19,180,943 outputs
Outputs from Nature Machine Intelligence
#97
of 377 outputs
Outputs of similar age
#13,273
of 327,849 outputs
Outputs of similar age from Nature Machine Intelligence
#12
of 39 outputs
Altmetric has tracked 19,180,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.0. This one has gotten more attention than average, scoring higher than 74% 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 327,849 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 95% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.