↓ Skip to main content

Dove Medical Press

Article Metrics

Evaluating the Viability of a Smartphone-Based Annotation Tool for Faster and Accurate Image Labelling for Artificial Intelligence in Diabetic Retinopathy

Overview of attention for article published in Clinical Ophthalmology, March 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
5 tweeters
video
1 video uploader

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 Mendeley
Title
Evaluating the Viability of a Smartphone-Based Annotation Tool for Faster and Accurate Image Labelling for Artificial Intelligence in Diabetic Retinopathy
Published in
Clinical Ophthalmology, March 2021
DOI 10.2147/opth.s289425
Pubmed ID
Authors

Arvind Kumar Morya, Jaitra Gowdar, Abhishek Kaushal, Nachiket Makwana, Saurav Biswas, Puneeth Raj, Sharat Hegde, Girish Velis, Winston Padua, Nazneen Nazm, Sangeetha Jeganathan, Sandeep Choudhary, Nishant Parashar, Bhavana Sharma, Pankaja Raghav

Twitter Demographics

The data shown below were collected from the profiles of 5 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Librarian 1 4%
Lecturer 1 4%
Other 3 12%
Unknown 12 46%
Readers by discipline Count As %
Computer Science 4 15%
Social Sciences 2 8%
Engineering 2 8%
Medicine and Dentistry 2 8%
Psychology 1 4%
Other 2 8%
Unknown 13 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2021.
All research outputs
#12,381,477
of 21,823,161 outputs
Outputs from Clinical Ophthalmology
#840
of 3,000 outputs
Outputs of similar age
#148,447
of 318,822 outputs
Outputs of similar age from Clinical Ophthalmology
#22
of 98 outputs
Altmetric has tracked 21,823,161 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,000 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 70% 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 318,822 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.