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Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke

Overview of attention for article published in British Journal of Ophthalmology, October 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 5,637)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
87 news outlets
blogs
8 blogs
twitter
165 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke
Published in
British Journal of Ophthalmology, October 2022
DOI 10.1136/bjo-2022-321842
Pubmed ID
Authors

Alicja Regina Rudnicka, Roshan Welikala, Sarah Barman, Paul J Foster, Robert Luben, Shabina Hayat, Kay-Tee Khaw, Peter Whincup, David Strachan, Christopher G Owen

Twitter Demographics

The data shown below were collected from the profiles of 165 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Other 2 15%
Professor > Associate Professor 2 15%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 3 23%
Nursing and Health Professions 1 8%
Agricultural and Biological Sciences 1 8%
Unspecified 1 8%
Medicine and Dentistry 1 8%
Other 3 23%
Unknown 3 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 796. 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 01 December 2022.
All research outputs
#18,906
of 22,611,748 outputs
Outputs from British Journal of Ophthalmology
#6
of 5,637 outputs
Outputs of similar age
#616
of 345,330 outputs
Outputs of similar age from British Journal of Ophthalmology
#2
of 114 outputs
Altmetric has tracked 22,611,748 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,637 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 99% 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 345,330 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 99% of its contemporaries.
We're also able to compare this research output to 114 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 99% of its contemporaries.