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Utility of combining spectral domain optical coherence tomography structural parameters for the diagnosis of early Glaucoma: a mini-review

Overview of attention for article published in Eye and Vision, April 2018
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Title
Utility of combining spectral domain optical coherence tomography structural parameters for the diagnosis of early Glaucoma: a mini-review
Published in
Eye and Vision, April 2018
DOI 10.1186/s40662-018-0101-6
Pubmed ID
Authors

Jean-Claude Mwanza, Joshua L. Warren, Donald L. Budenz

Abstract

Optical coherence tomography (OCT) has moved to the forefront of imaging modalities in the management of glaucoma and retinal diseases. It is modifying how glaucoma and glaucoma progression are diagnosed clinically and augmenting our understanding of the disease. OCT provides multiple parameters from various anatomic areas for glaucoma diagnosis, evaluation of treatment efficacy, and progression monitoring. While the use of multiple parameters has increased the likelihood of detecting early structural changes, diagnosing glaucoma in early stages is often challenging when the damages are subtle and not apparent on OCT scans, in addition to the fact that assessment of OCT parameters often yields conflicting findings. One promising approach is to combine multiple individual parameters into a composite parameter from the same test to improve diagnostic accuracy, sensitivity, and specificity. This review presents current evidence regarding the value of spectral domain OCT composite parameters in diagnosing early glaucoma.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 35%
Other 4 15%
Professor 4 15%
Student > Postgraduate 2 8%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 5 19%
Readers by discipline Count As %
Medicine and Dentistry 15 58%
Computer Science 2 8%
Engineering 2 8%
Physics and Astronomy 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 4 15%

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 06 May 2018.
All research outputs
#19,085,470
of 21,446,675 outputs
Outputs from Eye and Vision
#103
of 214 outputs
Outputs of similar age
#259,240
of 296,577 outputs
Outputs of similar age from Eye and Vision
#1
of 1 outputs
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So far Altmetric has tracked 214 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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