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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

Overview of attention for article published in Radiology, October 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

policy
1 policy source
twitter
70 X users
facebook
3 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
176 Dimensions

Readers on

mendeley
263 Mendeley
Title
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
Published in
Radiology, October 2019
DOI 10.1148/radiol.2019191586
Pubmed ID
Authors

J Raymond Geis, Adrian P Brady, Carol C Wu, Jack Spencer, Erik Ranschaert, Jacob L Jaremko, Steve G Langer, Andrea Borondy Kitts, Judy Birch, William F Shields, Robert van den Hoven van Genderen, Elmar Kotter, Judy Wawira Gichoya, Tessa S Cook, Matthew B Morgan, An Tang, Nabile M Safdar, Marc Kohli

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 263 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 10%
Researcher 25 10%
Student > Master 20 8%
Student > Ph. D. Student 19 7%
Other 16 6%
Other 52 20%
Unknown 105 40%
Readers by discipline Count As %
Medicine and Dentistry 46 17%
Computer Science 16 6%
Engineering 14 5%
Nursing and Health Professions 13 5%
Business, Management and Accounting 13 5%
Other 41 16%
Unknown 120 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 11 January 2024.
All research outputs
#939,306
of 26,017,215 outputs
Outputs from Radiology
#638
of 10,462 outputs
Outputs of similar age
#20,219
of 366,559 outputs
Outputs of similar age from Radiology
#14
of 110 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,462 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has done particularly well, scoring higher than 93% 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 366,559 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 94% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.