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Hepatitis C Virus: From Molecular Virology to Antiviral Therapy

Overview of attention for book
Attention for Chapter 2: Cell culture systems for hepatitis C virus.
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Chapter title
Cell culture systems for hepatitis C virus.
Chapter number 2
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_2
Pubmed ID
Book ISBNs
978-3-64-227339-1, 978-3-64-227340-7
Authors

Steinmann E, Pietschmann T, Eike Steinmann, Thomas Pietschmann, Steinmann, Eike, Pietschmann, Thomas

Abstract

Due to the obligatory intracellular lifestyle of viruses, cell culture systems for efficient viral propagation are crucial to obtain a detailed understanding of the virus-host cell interaction. For hepatitis C virus (HCV) the development of permissive and authentic culture models continues to be a challenging task. The first efforts to culture HCV had limited success and range back to before the virus was molecularly cloned in 1989. Since then several major breakthroughs have gradually overcome limitations in culturing the virus and sequentially permitted analysis of viral RNA replication, cell entry, and ultimately the complete replication cycle in cultured cells in 2005. Until today, basic and applied HCV research greatly benefit from these tremendous efforts which spurred multiple complementary cell-based model systems for distinct steps of the HCV replication cycle. When used in combination they now permit deep insights into the fascinating biology of HCV and its interplay with the host cell. In fact, drug development has been much facilitated and our understanding of the molecular determinants of HCV replication has grown in parallel to these advances. Building on this groundwork and further refining our cellular models to better mimic the architecture, polarization and differentiation of natural hepatocytes should reveal novel unique aspects of HCV replication. Ultimately, models to culture primary HCV isolates across all genotypes may teach us important new lessons about viral functional adaptations that have evolved in exchange with its human host and that may explain the variable natural course of hepatitis C.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
France 1 1%
Thailand 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Student > Master 16 21%
Researcher 7 9%
Student > Doctoral Student 6 8%
Student > Bachelor 3 4%
Other 15 20%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 32%
Biochemistry, Genetics and Molecular Biology 14 18%
Medicine and Dentistry 8 11%
Immunology and Microbiology 7 9%
Nursing and Health Professions 2 3%
Other 10 13%
Unknown 11 14%
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 13 December 2014.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Current topics in microbiology and immunology
#525
of 671 outputs
Outputs of similar age
#148,712
of 195,318 outputs
Outputs of similar age from Current topics in microbiology and immunology
#7
of 7 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 671 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 11th percentile – i.e., 11% 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 195,318 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% 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.