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Pharmacogenomics of hepatitis C infections: personalizing therapy

Overview of attention for article published in Genome Medicine, December 2012
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Title
Pharmacogenomics of hepatitis C infections: personalizing therapy
Published in
Genome Medicine, December 2012
DOI 10.1186/gm400
Pubmed ID
Authors

David R Booth, Golo Ahlenstiel, Jacob George

Abstract

It is a widely held view that drug response genes have not proved as useful in clinical practice as anticipated at the start of the genomic era. An exception is in the treatment for chronic hepatitis C virus (HCV) genotype 1 infection with pegylated interferon α and ribavirin. In 2009, four independent genome-wide analyses identified IL28B polymorphisms that predict drug response in chronic hepatitis C (CHC). This discovery had immediate clinical impact. First, the IL28B genotype could be used to personalize therapy. In the 2 years since discovery, most of the more than 100,000 CHC patients commencing therapy for CHC in the West will have considered IL28B genotype testing. Second, the discovery has supported clinical trials for the use of the protein encoded by the gene known as interferon lambda. Third, it is expected that new insights into HCV pathogenesis will follow from studies of how IL28B affects HCV viral clearance and, ultimately, this will lead to new therapeutic strategies for CHC. This review discusses how IL28B genotyping is now used in personalizing therapy and, with the dramatically changing clinical landscape in CHC, with the advent of direct-acting antivirals, the prospects ahead.

X Demographics

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

Geographical breakdown

Country Count As %
Egypt 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Master 6 17%
Student > Doctoral Student 4 11%
Other 4 11%
Professor > Associate Professor 3 8%
Other 5 14%
Unknown 7 19%
Readers by discipline Count As %
Medicine and Dentistry 11 31%
Agricultural and Biological Sciences 6 17%
Biochemistry, Genetics and Molecular Biology 5 14%
Immunology and Microbiology 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 2 6%
Unknown 7 19%
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 08 January 2013.
All research outputs
#16,045,990
of 25,371,288 outputs
Outputs from Genome Medicine
#1,401
of 1,585 outputs
Outputs of similar age
#180,372
of 288,857 outputs
Outputs of similar age from Genome Medicine
#25
of 27 outputs
Altmetric has tracked 25,371,288 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 288,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.