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Diabetic retinopathy: variations in patient therapeutic outcomes and pharmacogenomics

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, December 2014
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Title
Diabetic retinopathy: variations in patient therapeutic outcomes and pharmacogenomics
Published in
Pharmacogenomics and Personalized Medicine, December 2014
DOI 10.2147/pgpm.s52821
Pubmed ID
Authors

Aniruddha Agarwal, Mohamed K Soliman, Yasir J Sepah, Diana V, Quan Dong Nguyen

Abstract

Diabetes and its microvascular complications in patients poses a significant challenge and constitutes a major health problem. When it comes to manifestations in the eye, each case of diabetic retinopathy (DR) is unique, in terms of the phenotype, genotype, and, more importantly, the therapeutic response. It is therefore important to identify factors that distinguish one patient from another. Personalized therapy in DR is a new trend aimed at achieving maximum therapeutic response in patients by identifying genotypic and phenotypic factors that may result in less than optimal response to conventional therapy, and consequently, lead to poorer outcome. With advances in the identification of these genetic markers, such as gene polymorphisms and human leucocyte antigen associations, as well as development of drugs that can target their effects, the future of personalized medicine in DR is promising. In this comprehensive review, data from various studies have been analyzed to present what has been achieved in the field of pharmacogenomics thus far. An insight into future research is also provided.

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X Demographics

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

Geographical breakdown

Country Count As %
Pakistan 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 24%
Other 5 10%
Student > Bachelor 5 10%
Student > Doctoral Student 4 8%
Researcher 3 6%
Other 10 20%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Agricultural and Biological Sciences 7 14%
Biochemistry, Genetics and Molecular Biology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Neuroscience 3 6%
Other 7 14%
Unknown 15 29%
Attention Score in Context

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 17 January 2015.
All research outputs
#17,562,823
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#229,434
of 371,204 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
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