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Epiretinal membrane: optical coherence tomography-based diagnosis and classification

Overview of attention for article published in Clinical Ophthalmology, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
57 Mendeley
Title
Epiretinal membrane: optical coherence tomography-based diagnosis and classification
Published in
Clinical Ophthalmology, March 2016
DOI 10.2147/opth.s97722
Pubmed ID
Authors

William Stevenson, Claudia Prospero Ponce, Daniel Agarwal, Rachel Gelman, John Christoforidis

Abstract

Epiretinal membrane (ERM) is a disorder of the vitreomacular interface characterized by symptoms of decreased visual acuity and metamorphopsia. The diagnosis and classification of ERM has traditionally been based on clinical examination findings. However, modern optical coherence tomography (OCT) has proven to be more sensitive than clinical examination for the diagnosis of ERM. Furthermore, OCT-derived findings, such as central foveal thickness and inner segment ellipsoid band integrity, have shown clinical relevance in the setting of ERM. To date, no OCT-based ERM classification scheme has been widely accepted for use in clinical practice and investigation. Herein, we review the pathogenesis, diagnosis, and classification of ERMs and propose an OCT-based ERM classification system.

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

Geographical breakdown

Country Count As %
Poland 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 25%
Researcher 9 16%
Student > Ph. D. Student 7 12%
Student > Master 7 12%
Other 5 9%
Other 15 26%
Readers by discipline Count As %
Medicine and Dentistry 42 74%
Unspecified 8 14%
Nursing and Health Professions 3 5%
Engineering 2 4%
Agricultural and Biological Sciences 1 2%
Other 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 October 2017.
All research outputs
#1,405,022
of 12,488,808 outputs
Outputs from Clinical Ophthalmology
#59
of 1,597 outputs
Outputs of similar age
#43,154
of 265,755 outputs
Outputs of similar age from Clinical Ophthalmology
#3
of 68 outputs
Altmetric has tracked 12,488,808 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 1,597 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 96% 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 265,755 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 83% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.