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Machine learning in the EU health care context: exploring the ethical, legal and social issues

Overview of attention for article published in Information, Communication & Society, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
43 tweeters

Readers on

mendeley
12 Mendeley
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Title
Machine learning in the EU health care context: exploring the ethical, legal and social issues
Published in
Information, Communication & Society, July 2020
DOI 10.1080/1369118x.2020.1719185
Authors

Iñigo de Miguel, Begoña Sanz, Guillermo Lazcoz

Twitter Demographics

The data shown below were collected from the profiles of 43 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Bachelor 2 17%
Student > Doctoral Student 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Social Sciences 4 33%
Philosophy 1 8%
Engineering 1 8%
Unknown 6 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 05 August 2020.
All research outputs
#851,121
of 16,143,307 outputs
Outputs from Information, Communication & Society
#152
of 1,238 outputs
Outputs of similar age
#27,669
of 293,232 outputs
Outputs of similar age from Information, Communication & Society
#3
of 38 outputs
Altmetric has tracked 16,143,307 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 87% 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 293,232 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 90% of its contemporaries.
We're also able to compare this research output to 38 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 92% of its contemporaries.