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Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy

Overview of attention for article published in Cochrane database of systematic reviews, January 2015
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
1 CiteULike
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Title
Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy
Published in
Cochrane database of systematic reviews, January 2015
DOI 10.1002/14651858.cd008081.pub3
Pubmed ID
Authors

Gianni Virgili, Francesca Menchini, Giovanni Casazza, Ruth Hogg, Radha R Das, Xue Wang, Manuele Michelessi

Abstract

Diabetic macular oedema (DMO) is a thickening of the central retina, or the macula, and is associated with long-term visual loss in people with diabetic retinopathy (DR). Clinically significant macular oedema (CSMO) is the most severe form of DMO. Almost 30 years ago, the Early Treatment Diabetic Retinopathy Study (ETDRS) found that CSMO, diagnosed by means of stereoscopic fundus photography, leads to moderate visual loss in one of four people within three years. It also showed that grid or focal laser photocoagulation to the macula halves this risk. Recently, intravitreal injection of antiangiogenic drugs has also been used to try to improve vision in people with macular oedema due to DR.Optical coherence tomography (OCT) is based on optical reflectivity and is able to image retinal thickness and structure producing cross-sectional and three-dimensional images of the central retina. It is widely used because it provides objective and quantitative assessment of macular oedema, unlike the subjectivity of fundus biomicroscopic assessment which is routinely used by ophthalmologists instead of photography. Optical coherence tomography is also used for quantitative follow-up of the effects of treatment of CSMO.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
India 1 <1%
United States 1 <1%
Unknown 145 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 20%
Student > Bachelor 22 15%
Researcher 18 12%
Student > Ph. D. Student 13 9%
Student > Doctoral Student 12 8%
Other 32 22%
Unknown 21 14%
Readers by discipline Count As %
Medicine and Dentistry 72 49%
Nursing and Health Professions 15 10%
Psychology 5 3%
Economics, Econometrics and Finance 5 3%
Computer Science 4 3%
Other 21 14%
Unknown 26 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 05 December 2016.
All research outputs
#869,065
of 12,527,219 outputs
Outputs from Cochrane database of systematic reviews
#2,694
of 8,923 outputs
Outputs of similar age
#22,842
of 284,016 outputs
Outputs of similar age from Cochrane database of systematic reviews
#87
of 251 outputs
Altmetric has tracked 12,527,219 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one has done well, scoring higher than 77% 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 284,016 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.