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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 (#5 of 6,071)
  • 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
89 news outlets
blogs
8 blogs
twitter
164 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
40 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 164 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 6 15%
Other 4 10%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Other 5 13%
Unknown 12 30%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Computer Science 5 13%
Nursing and Health Professions 3 8%
Business, Management and Accounting 2 5%
Agricultural and Biological Sciences 1 3%
Other 4 10%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 806. 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 22 June 2023.
All research outputs
#23,500
of 25,563,770 outputs
Outputs from British Journal of Ophthalmology
#5
of 6,071 outputs
Outputs of similar age
#738
of 440,855 outputs
Outputs of similar age from British Journal of Ophthalmology
#1
of 64 outputs
Altmetric has tracked 25,563,770 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 6,071 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 440,855 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 64 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.