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Influenza Pathogenesis and Control - Volume I

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Cover of 'Influenza Pathogenesis and Control - Volume I'

Table of Contents

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    Book Overview
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    Chapter 383 Mammalian Models for the Study of H7 Virus Pathogenesis and Transmission.
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    Chapter 384 The Hemagglutinin: A Determinant of Pathogenicity.
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    Chapter 385 Influenza Pathobiology and Pathogenesis in Avian Species.
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    Chapter 386 Molecular Determinants of Pathogenicity in the Polymerase Complex
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    Chapter 387 Avian Influenza Virus Transmission to Mammals
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    Chapter 388 Molecular Determinants of Influenza Virus Pathogenesis in Mice.
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    Chapter 389 Enhancement of Influenza Virus Transmission by Gene Reassortment
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    Chapter 390 Transmission in the Guinea Pig Model
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    Chapter 391 Pathogenesis and Vaccination of Influenza A Virus in Swine.
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    Chapter 392 Swine and Influenza: A Challenge to One Health Research.
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    Chapter 393 Acid-Induced Membrane Fusion by the Hemagglutinin Protein and Its Role in Influenza Virus Biology
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    Chapter 394 Secondary Bacterial Infections in Influenza Virus Infection Pathogenesis
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    Chapter 395 Influenza A Virus Reassortment.
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    Chapter 396 Evolution and Ecology of Influenza A Viruses.
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    Chapter 419 Pandemic Preparedness and the Influenza Risk Assessment Tool (IRAT).
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    Chapter 422 Antigenic Analyses of Highly Pathogenic Avian Influenza A Viruses.
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    Chapter 423 Receptor Binding Properties of the Influenza Virus Hemagglutinin as a Determinant of Host Range
Attention for Chapter 389: Enhancement of Influenza Virus Transmission by Gene Reassortment
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Chapter title
Enhancement of Influenza Virus Transmission by Gene Reassortment
Chapter number 389
Book title
Influenza Pathogenesis and Control - Volume I
Published in
Current topics in microbiology and immunology, July 2014
DOI 10.1007/82_2014_389
Pubmed ID
Book ISBNs
978-3-31-911154-4, 978-3-31-911155-1
Authors

Chengjun Li, Hualan Chen, Li, Chengjun, Chen, Hualan

Abstract

Influenza A virus is characterized by a genome composed of eight single-stranded, negative sense RNA segments, which allow for reassortment between different strains when they co-infect the same host cell. ReassortmentReassortment is an important driving force for the evolution of influenza virusesInfluenza viruses . The ability of reassortment allows influenza virus to endlessly reinvent itself and pose a constant threat to the health of humans and other animals. Of the four human influenza pandemics since the beginning of the last century, three of them were caused by reassortant viruses bearing genes of avian, human or swine influenza virus origin. In the past decade, great efforts have been made to understand the transmissibility of influenza viruses. The use of reverse genetics technology has made it substantially easier to generate reassortant viruses and evaluate the contribution of individual virus gene on virus transmissibility in animal models such as ferrets and guinea pigs. H5, H7, and H9 avian influenza viruses represent the top three subtypes that are candidates to cause the next human influenza pandemic. Many studies have been conducted to determine whether the transmissionTransmission of these avian influenza viruses could be enhanced by acquisition of gene segments from human influenza viruses. Moreover, the 2009 pdmH1N1 viruses and the triple reassortant swine influenza viruses were extensively studied to identify the gene segments that contribute to their transmissibility. These studies have greatly deepened our understanding of the transmissibility of reassortant influenza viruses, which, in turn, has improved our ability to be prepared for reassortant influenza virus with enhanced transmissibility and pandemic potential.

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The data shown below were collected from the profile of 1 X user 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Denmark 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Researcher 7 21%
Student > Ph. D. Student 6 18%
Student > Bachelor 4 12%
Professor 2 6%
Other 2 6%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 35%
Veterinary Science and Veterinary Medicine 4 12%
Immunology and Microbiology 4 12%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Other 5 15%
Unknown 5 15%
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 21 August 2022.
All research outputs
#18,020,520
of 23,146,350 outputs
Outputs from Current topics in microbiology and immunology
#512
of 684 outputs
Outputs of similar age
#155,542
of 229,439 outputs
Outputs of similar age from Current topics in microbiology and immunology
#20
of 32 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 684 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 22nd percentile – i.e., 22% 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 229,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.