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Development of a classification system based on corneal biomechanical properties using artificial intelligence predicting keratoconus severity

Overview of attention for article published in Eye and Vision, June 2021
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Mentioned by

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1 X user

Citations

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22 Dimensions

Readers on

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17 Mendeley
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Title
Development of a classification system based on corneal biomechanical properties using artificial intelligence predicting keratoconus severity
Published in
Eye and Vision, June 2021
DOI 10.1186/s40662-021-00244-4
Pubmed ID
Authors

Robert Herber, Lutz E. Pillunat, Frederik Raiskup

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Other 1 6%
Lecturer 1 6%
Professor 1 6%
Student > Master 1 6%
Other 2 12%
Unknown 8 47%
Readers by discipline Count As %
Medicine and Dentistry 4 24%
Engineering 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Computer Science 1 6%
Arts and Humanities 1 6%
Other 0 0%
Unknown 8 47%
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 08 June 2021.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Eye and Vision
#122
of 248 outputs
Outputs of similar age
#368,911
of 448,056 outputs
Outputs of similar age from Eye and Vision
#6
of 12 outputs
Altmetric has tracked 23,312,088 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 248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 448,056 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 12 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.