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Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations

Overview of attention for article published in Clinics, January 2010
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations
Published in
Clinics, January 2010
DOI 10.1590/s1807-59322010001200002
Pubmed ID
Authors

Murilo Barreto Souza, Fabricio Witzel Medeiros, Danilo Barreto Souza, Renato Garcia, Milton Ruiz Alves

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Turkey 1 2%
Switzerland 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 10%
Student > Postgraduate 6 10%
Student > Doctoral Student 6 10%
Student > Master 6 10%
Student > Bachelor 5 8%
Other 13 21%
Unknown 20 32%
Readers by discipline Count As %
Medicine and Dentistry 23 37%
Computer Science 6 10%
Engineering 2 3%
Nursing and Health Professions 1 2%
Psychology 1 2%
Other 5 8%
Unknown 24 39%
Attention Score in Context

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 16 March 2021.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Clinics
#326
of 1,215 outputs
Outputs of similar age
#51,122
of 172,632 outputs
Outputs of similar age from Clinics
#15
of 42 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 59% 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 172,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.