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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
2 blogs
twitter
92 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
32 Mendeley
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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 92 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Researcher 5 16%
Student > Bachelor 4 13%
Student > Master 3 9%
Student > Doctoral Student 3 9%
Other 6 19%
Unknown 6 19%
Readers by discipline Count As %
Engineering 7 22%
Agricultural and Biological Sciences 4 13%
Computer Science 4 13%
Medicine and Dentistry 3 9%
Social Sciences 3 9%
Other 5 16%
Unknown 6 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 23 September 2021.
All research outputs
#480,637
of 18,958,811 outputs
Outputs from Nature Machine Intelligence
#102
of 366 outputs
Outputs of similar age
#14,188
of 327,448 outputs
Outputs of similar age from Nature Machine Intelligence
#11
of 39 outputs
Altmetric has tracked 18,958,811 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 366 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.9. This one has gotten more attention than average, scoring higher than 72% 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 327,448 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.