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Role of viral and host factors in interferon based therapy of hepatitis C virus infection

Overview of attention for article published in Virology Journal, October 2013
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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7 X users

Citations

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29 Dimensions

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66 Mendeley
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Title
Role of viral and host factors in interferon based therapy of hepatitis C virus infection
Published in
Virology Journal, October 2013
DOI 10.1186/1743-422x-10-299
Pubmed ID
Authors

Muhammad Imran, Sobia Manzoor, Javed Ashraf, Madiha Khalid, Muqddas Tariq, Hafiza Madeha Khaliq, Sikandar Azam

Abstract

The current standard of care (SOC) for hepatitis C virus (HCV) infection is the combination of pegylated interferon (PEG-IFN), Ribavirin and protease inhibitor for HCV genotype 1. Nevertheless, this treatment is successful only in 70-80% of the patients. In addition, the treatment is not economical and is of immense physical burden for the subject. It has been established now, that virus-host interactions play a significant role in determining treatment outcomes. Therefore identifying biological markers that may predict the treatment response and hence treatment outcome would be useful. Both IFN and Ribavirin mainly act by modulating the immune system of the patient. Therefore, the treatment response is influenced by genetic variations of the human as well as the HCV genome. The goal of this review article is to summarize the impact of recent scientific advances in this area regarding the understanding of human and HCV genetic variations and their effect on treatment outcomes. Google scholar and PubMed have been used for literature research. Among the host factors, the most prominent associations are polymorphisms within the region of the interleukin 28B (IL28B) gene, but variations in other cytokine genes have also been linked with the treatment outcome. Among the viral factors, HCV genotypes are noteworthy. Moreover, for sustained virological responses (SVR), variations in core, p7, non-structural 2 (NS2), NS3 and NS5A genes are also important. However, all considered single nucleotide polymorphisms (SNPs) of IL28B and viral genotypes are the most important predictors for interferon based therapy of HCV infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Student > Master 11 17%
Student > Doctoral Student 8 12%
Researcher 5 8%
Student > Bachelor 4 6%
Other 10 15%
Unknown 13 20%
Readers by discipline Count As %
Medicine and Dentistry 17 26%
Agricultural and Biological Sciences 13 20%
Immunology and Microbiology 7 11%
Biochemistry, Genetics and Molecular Biology 4 6%
Chemistry 3 5%
Other 7 11%
Unknown 15 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 October 2013.
All research outputs
#6,125,469
of 22,723,682 outputs
Outputs from Virology Journal
#615
of 3,035 outputs
Outputs of similar age
#54,995
of 207,102 outputs
Outputs of similar age from Virology Journal
#12
of 68 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has done well, scoring higher than 79% 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 207,102 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.