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Editorial: Clinical applications of artificial intelligence in retinal and optic nerve disease

Overview of attention for article published in Frontiers in Medicine, November 2022
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1 X user

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7 Mendeley
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Title
Editorial: Clinical applications of artificial intelligence in retinal and optic nerve disease
Published in
Frontiers in Medicine, November 2022
DOI 10.3389/fmed.2022.1065603
Pubmed ID
Authors

Zhichao Wu, Linda M. Zangwill, Felipe A. Medeiros, Tiarnan D. L. Keenan

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Other 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Unspecified 1 14%
Environmental Science 1 14%
Computer Science 1 14%
Unknown 4 57%
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 18 November 2022.
All research outputs
#20,563,454
of 23,138,859 outputs
Outputs from Frontiers in Medicine
#5,095
of 5,879 outputs
Outputs of similar age
#352,119
of 442,616 outputs
Outputs of similar age from Frontiers in Medicine
#401
of 512 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 1st percentile – i.e., 1% 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 442,616 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 512 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.