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Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs

Overview of attention for article published in BMJ Open Ophthalmology, February 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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23 Dimensions

Readers on

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39 Mendeley
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Title
Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs
Published in
BMJ Open Ophthalmology, February 2022
DOI 10.1136/bmjophth-2021-000924
Pubmed ID
Authors

Elie Abitbol, Alexandra Miere, Jean-Baptiste Excoffier, Carl-Joe Mehanna, Francesca Amoroso, Samuel Kerr, Matthieu Ortala, Eric H Souied

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 10%
Student > Bachelor 2 5%
Other 1 3%
Professor 1 3%
Student > Ph. D. Student 1 3%
Other 1 3%
Unknown 29 74%
Readers by discipline Count As %
Unspecified 4 10%
Nursing and Health Professions 2 5%
Medicine and Dentistry 2 5%
Computer Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 0 0%
Unknown 29 74%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 March 2022.
All research outputs
#15,103,730
of 23,243,271 outputs
Outputs from BMJ Open Ophthalmology
#154
of 320 outputs
Outputs of similar age
#264,807
of 508,398 outputs
Outputs of similar age from BMJ Open Ophthalmology
#8
of 14 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 508,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.