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Hepatitis C Virus: From Molecular Virology to Antiviral Therapy

Overview of attention for book
Attention for Chapter 13: Treatment of chronic hepatitis C: current and future.
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2 X users

Citations

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28 Dimensions

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37 Mendeley
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Chapter title
Treatment of chronic hepatitis C: current and future.
Chapter number 13
Book title
Hepatitis C Virus: From Molecular Virology to Antiviral Therapy
Published in
Current topics in microbiology and immunology, March 2013
DOI 10.1007/978-3-642-27340-7_13
Pubmed ID
Book ISBNs
978-3-64-227339-1, 978-3-64-227340-7
Authors

Pawlotsky JM, Jean-Michel Pawlotsky

Abstract

Resolution of the three-dimensional structures of several Hepatitis C virus (HCV) proteins, together with the development of replicative cell culture systems, has led to the identification of a number of potential targets for direct-acting antiviral agents (DAA). Numerous families of drugs that potently inhibit the HCV life cycle in vitro have been identified, and some of these molecules have reached early to late clinical development. Two NS3-4A protease inhibitors, telaprevir and boceprevir, were approved in Europe and the United States in 2011 in combination with pegylated interferon (IFN)-α and ribavirin for the treatment of chronic hepatitis C related to HCV genotype 1. A number of other DAAs are at the clinical developmental stage in combination with pegylated IFN-α and ribavirin or with other DAAs in IFN-free regimens, with or without ribavirin. They include second-wave, first-generation, and second-generation NS3-4A protease inhibitors, nucleoside/nucleotide analogue inhibitors, and non-nucleoside inhibitors of HCV RNA-dependent RNA polymerase, inhibitors of nonstructural protein 5A and host-targeted agents, such as cyclophilin A inhibitors and microRNA-122 antagonists. The proof of concept that IFN-free regimens can lead to HCV eradication has recently been brought. This chapter provides an overview of the current treatment of HCV infection and discusses the future of HCV therapy with new anti-HCV drugs.

X Demographics

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

Geographical breakdown

Country Count As %
Portugal 1 3%
France 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Postgraduate 5 14%
Student > Master 5 14%
Researcher 4 11%
Professor > Associate Professor 4 11%
Other 7 19%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Agricultural and Biological Sciences 7 19%
Immunology and Microbiology 7 19%
Biochemistry, Genetics and Molecular Biology 6 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 5%
Unknown 6 16%
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 21 May 2013.
All research outputs
#15,933,432
of 24,452,594 outputs
Outputs from Current topics in microbiology and immunology
#431
of 702 outputs
Outputs of similar age
#121,311
of 199,132 outputs
Outputs of similar age from Current topics in microbiology and immunology
#5
of 7 outputs
Altmetric has tracked 24,452,594 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 702 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 37th percentile – i.e., 37% 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 199,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.