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Clinical biomarkers and molecular basis for optimized treatment of diabetic retinopathy: current status and future prospects

Overview of attention for article published in Eye and Brain, February 2016
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47 Mendeley
Title
Clinical biomarkers and molecular basis for optimized treatment of diabetic retinopathy: current status and future prospects
Published in
Eye and Brain, February 2016
DOI 10.2147/eb.s69185
Pubmed ID
Authors

Rohit Saxena, Digvijay Singh, Ravi Saklani, Suresh Kumar Gupta

Abstract

Diabetic retinopathy is a highly specific microvascular complication of diabetes and a leading cause of blindness worldwide. It is triggered by hyperglycemia which causes increased oxidative stress leading to an adaptive inflammatory assault to the neuroretinal tissue and microvasculature. Prolonged hyperglycemia causes increased polyol pathway flux, increased formation of advanced glycation end-products, abnormal activation of signaling cascades such as activation of protein kinase C (PKC) pathway, increased hexosamine pathway flux, and peripheral nerve damage. All these changes lead to increased oxidative stress and inflammatory assault to the retina resulting in structural and functional changes. In addition, neuroretinal alterations affect diabetes progression. The most effective way to manage diabetic retinopathy is by primary prevention such as hyperglycemia control. While the current mainstay for the management of severe and proliferative diabetic retinopathy is laser photocoagulation, its role is diminishing with the development of newer drugs including corticosteroids, antioxidants, and antiangiogenic and anti-VEGF agents which work as an adjunct to laser therapy or independently. The current pharmacotherapy of diabetic retinopathy is incomplete as a sole treatment option in view of limited efficacy and short-term effect. There is a definite clinical need to develop new pharmacological therapies for diabetic retinopathy, particularly ones which would be effective through the oral route and help recover lost vision. The increasing understanding of the mechanisms of diabetic retinopathy and its biomarkers is likely to help generate better and more effective medications.

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The data shown below were collected from the profiles of 2 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Master 5 11%
Researcher 4 9%
Student > Bachelor 4 9%
Student > Postgraduate 4 9%
Other 9 19%
Unknown 14 30%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Agricultural and Biological Sciences 3 6%
Nursing and Health Professions 2 4%
Other 7 15%
Unknown 17 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 February 2016.
All research outputs
#16,848,023
of 25,748,735 outputs
Outputs from Eye and Brain
#1
of 1 outputs
Outputs of similar age
#235,026
of 408,562 outputs
Outputs of similar age from Eye and Brain
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 0 of them.
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 408,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them