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Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data

Overview of attention for article published in JAMA Ophthalmology, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
9 X users
facebook
1 Facebook page

Readers on

mendeley
79 Mendeley
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Article details
Title
Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data
Published in
JAMA Ophthalmology, May 2019
DOI 10.1001/jamaophthalmol.2018.7051
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 16%
Student > Ph. D. Student 11 14%
Student > Doctoral Student 7 9%
Student > Master 6 8%
Student > Bachelor 5 6%
Other 15 19%
Unknown 22 28%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 25 32%
Computer Science 6 8%
Biochemistry, Genetics and Molecular Biology 5 6%
Nursing and Health Professions 5 6%
Engineering 3 4%
Other 9 11%
Unknown 26 33%
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 28 March 2020.
All research outputs
#10,590,113
of 34,517,289 outputs
Outputs from JAMA Ophthalmology
#2,591
of 4,549 outputs
Outputs of similar age
#138,702
of 395,309 outputs
Outputs of similar age from JAMA Ophthalmology
#64
of 107 outputs
Altmetric has tracked 34,517,289 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 4,549 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.8. This one is in the 42nd percentile – i.e., 42% 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 395,309 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 64% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.