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Predicting the future development of diabetic retinopathy using a deep learning algorithm for the analysis of non-invasive retinal imaging

Overview of attention for article published in BMJ Open Ophthalmology, December 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 359)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
34 news outlets
twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Predicting the future development of diabetic retinopathy using a deep learning algorithm for the analysis of non-invasive retinal imaging
Published in
BMJ Open Ophthalmology, December 2022
DOI 10.1136/bmjophth-2022-001140
Authors

Yovel Rom, Rachelle Aviv, Tsontcho Ianchulev, Zack Dvey-Aharon

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 8 47%
Student > Ph. D. Student 2 12%
Researcher 1 6%
Student > Master 1 6%
Unknown 5 29%
Readers by discipline Count As %
Unspecified 8 47%
Computer Science 2 12%
Arts and Humanities 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 248. 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 20 November 2023.
All research outputs
#144,477
of 24,840,108 outputs
Outputs from BMJ Open Ophthalmology
#5
of 359 outputs
Outputs of similar age
#3,850
of 467,731 outputs
Outputs of similar age from BMJ Open Ophthalmology
#2
of 15 outputs
Altmetric has tracked 24,840,108 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 359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 98% 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 467,731 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 15 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 93% of its contemporaries.