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Using Large Language Models to Generate Educational Materials on Childhood Glaucoma

Overview of attention for article published in American Journal of Ophthalmology, April 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
52 Mendeley
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Article details
Title
Using Large Language Models to Generate Educational Materials on Childhood Glaucoma
Published in
American Journal of Ophthalmology, April 2024
DOI 10.1016/j.ajo.2024.04.004
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 4 8%
Student > Ph. D. Student 4 8%
Lecturer 3 6%
Professor > Associate Professor 2 4%
Student > Bachelor 1 2%
Other 3 6%
Unknown 35 67%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 4 8%
Social Sciences 4 8%
Medicine and Dentistry 4 8%
Computer Science 2 4%
Engineering 2 4%
Other 3 6%
Unknown 33 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 September 2024.
All research outputs
#10,317,977
of 34,362,729 outputs
Outputs from American Journal of Ophthalmology
#2,409
of 8,836 outputs
Outputs of similar age
#105,161
of 364,585 outputs
Outputs of similar age from American Journal of Ophthalmology
#28
of 100 outputs
Altmetric has tracked 34,362,729 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,836 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 72% 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 364,585 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 70% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.