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Comparing Deep Feature Extraction Strategies for Diabetic Retinopathy Stage Classification from Fundus Images

Overview of attention for article published in Arabian Journal for Science and Engineering, January 2023
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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5 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Comparing Deep Feature Extraction Strategies for Diabetic Retinopathy Stage Classification from Fundus Images
Published in
Arabian Journal for Science and Engineering, January 2023
DOI 10.1007/s13369-022-07547-1
Authors

Nilarun Mukherjee, Souvik Sengupta

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 18%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Unknown 7 64%
Readers by discipline Count As %
Computer Science 3 27%
Engineering 1 9%
Unknown 7 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 January 2023.
All research outputs
#16,291,311
of 23,999,200 outputs
Outputs from Arabian Journal for Science and Engineering
#144
of 304 outputs
Outputs of similar age
#246,221
of 439,514 outputs
Outputs of similar age from Arabian Journal for Science and Engineering
#3
of 9 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 304 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 23rd percentile – i.e., 23% 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 439,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.