Title |
Pharmacogenomics of sickle cell disease: steps toward personalized medicine
|
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Published in |
Pharmacogenomics and Personalized Medicine, October 2017
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DOI | 10.2147/pgpm.s123427 |
Pubmed ID | |
Authors |
Marium Husain, Amber D Hartman, Payal Desai |
Abstract |
Sickle cell disease (SCD) is a monogenetic disease but has a wide range of phenotypic expressions. Some of these differences in phenotype can be explained by genetic polymorphisms in the human globin gene. These polymorphisms can result in different responses to typical treatment, sometimes leading to inadequate therapeutics. Research is revealing more polymorphisms, and therefore, new targets for intervention to improve outcomes in SCD. This area of pharmacogenomics is continuing to develop. We provide a brief review of the current literature on pharmacogenomics in SCD and possible targets for intervention. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 14% |
Student > Master | 5 | 12% |
Lecturer | 3 | 7% |
Researcher | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 8 | 19% |
Unknown | 16 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 12 | 28% |
Medicine and Dentistry | 6 | 14% |
Agricultural and Biological Sciences | 4 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
Nursing and Health Professions | 2 | 5% |
Other | 1 | 2% |
Unknown | 15 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 November 2017.
All research outputs
#14,627,724
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#158,957
of 332,288 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.8. This one scored the same or higher as 0 of them.
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