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Strategies for improving the early diagnosis of keratoconus

Overview of attention for article published in Clinical Optometry, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 103)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

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9 X users
patent
1 patent
facebook
2 Facebook pages

Citations

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35 Dimensions

Readers on

mendeley
52 Mendeley
Title
Strategies for improving the early diagnosis of keratoconus
Published in
Clinical Optometry, February 2016
DOI 10.2147/opto.s63486
Pubmed ID
Authors

Yue Shi

Abstract

To diagnose keratoconus at its earliest stage is meaningful in order to avoid refractive surgery in the eye, which may lead to further damage in the abnormal cornea structure and consequently cause iatrogenic ectasia. In this article, the following aspects of detecting earliest stage of keratoconus were reviewed: 1) nomenclature of the earliest forms of keratoconus; 2) diagnosis of keratoconus using curvature-based topography (also known as Placido-based topography, ie, videokeratography) as a traditional method and elevation-based topography as a new method which has gained popularity in recent years; and 3) other methods analyzing keratoconus cornea like corneal biomechanics and wavefront sensing. Elevation-based topography using either Scheimpflug imaging techniques or slit-scanning imaging techniques has shown to be advantageous over the curvature-based topography in detecting keratoconus at its earliest stage. Posterior elevation of the cornea is notified to enhance the sensitivity and specificity of detection if used along with the measurements of anterior surface of the cornea. Cornea biomechanics analysis and wavefront sensing also revealed differences between normal eyes and keratoconic eyes in their earliest stage. Combining the latest technology and the traditional techniques will be the future trend to improve early diagnosis of keratoconus.

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 readers

Mendeley readers

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

Country Count As %
Spain 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 13%
Other 6 12%
Student > Postgraduate 5 10%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Other 9 17%
Unknown 17 33%
Readers by discipline Count As %
Medicine and Dentistry 22 42%
Biochemistry, Genetics and Molecular Biology 4 8%
Agricultural and Biological Sciences 3 6%
Nursing and Health Professions 2 4%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 January 2022.
All research outputs
#2,634,044
of 23,016,919 outputs
Outputs from Clinical Optometry
#11
of 103 outputs
Outputs of similar age
#48,332
of 398,462 outputs
Outputs of similar age from Clinical Optometry
#2
of 3 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 88% 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 398,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.