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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre

Overview of attention for article published in Nature Biomedical Engineering, October 2020
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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 (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
4 news outlets
twitter
110 X users
facebook
2 Facebook pages

Readers on

mendeley
248 Mendeley
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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 110 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 248 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 12%
Student > Master 20 8%
Researcher 19 8%
Student > Bachelor 12 5%
Student > Doctoral Student 11 4%
Other 36 15%
Unknown 120 48%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 43 17%
Computer Science 21 8%
Engineering 16 6%
Biochemistry, Genetics and Molecular Biology 11 4%
Agricultural and Biological Sciences 5 2%
Other 23 9%
Unknown 129 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 25 January 2021.
All research outputs
#569,459
of 33,148,248 outputs
Outputs from Nature Biomedical Engineering
#374
of 1,631 outputs
Outputs of similar age
#12,573
of 460,389 outputs
Outputs of similar age from Nature Biomedical Engineering
#15
of 47 outputs
Altmetric has tracked 33,148,248 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 75.7. This one has done well, scoring higher than 77% 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 460,389 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 97% of its contemporaries.
We're also able to compare this research output to 47 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 68% of its contemporaries.