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Influenza Virus

Overview of attention for book
Cover of 'Influenza Virus'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Understanding Influenza
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    Chapter 2 Clinical Diagnosis of Influenza
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    Chapter 3 Influenza A Virus Genetic Tools: From Clinical Sample to Molecular Clone
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    Chapter 4 Propagation and Titration of Influenza Viruses
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    Chapter 5 Purification and Proteomics of Influenza Virions
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    Chapter 6 Haploid Screening for the Identification of Host Factors in Virus Infection
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    Chapter 7 Phenotypic Lentivirus Screens to Identify Antiviral Single Domain Antibodies
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    Chapter 8 Deciphering Virus Entry with Fluorescently Labeled Viral Particles
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    Chapter 9 Quantitative RT-PCR Analysis of Influenza Virus Endocytic Escape
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    Chapter 10 Single-Molecule Sensitivity RNA FISH Analysis of Influenza Virus Genome Trafficking
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    Chapter 11 3D Electron Microscopy (EM) and Correlative Light Electron Microscopy (CLEM) Methods to Study Virus-Host Interactions
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    Chapter 12 Correlative Light and Electron Microscopy of Influenza Virus Entry and Budding
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    Chapter 13 Influenza Virus-Liposome Fusion Studies Using Fluorescence Dequenching and Cryo-electron Tomography
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    Chapter 14 Metal-Tagging Transmission Electron Microscopy and Immunogold Labeling on Tokuyasu Cryosections to Image Influenza A Virus Ribonucleoprotein Transport and Packaging
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    Chapter 15 Live Imaging of Influenza Viral Ribonucleoproteins Using Light-Sheet Microscopy
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    Chapter 16 Purification of Unanchored Polyubiquitin Chains from Influenza Virions
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    Chapter 17 Assays to Measure the Activity of Influenza Virus Polymerase
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    Chapter 18 In Vitro Models to Study Influenza Virus and Staphylococcus aureus Super-Infection on a Molecular Level
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    Chapter 19 Infection of Cultured Mammalian Cells with Aerosolized Influenza Virus
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    Chapter 20 Animal Models in Influenza Research
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    Chapter 21 Measuring Influenza Virus Infection Using Bioluminescent Reporter Viruses for In Vivo Imaging and In Vitro Replication Assays
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    Chapter 22 Selection of Antigenically Advanced Variants of Influenza Viruses
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    Chapter 23 Assessment of Influenza Virus Hemagglutinin Stalk-Specific Antibody Responses
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    Chapter 24 Analyses of Cellular Immune Responses in Ferrets Following Influenza Virus Infection
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    Chapter 25 Parameter Estimation in Mathematical Models of Viral Infections Using R
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    Chapter 26 Software for Characterizing the Antigenic and Genetic Evolution of Human Influenza Viruses
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    Chapter 27 Clinical Trials of Influenza Vaccines: Special Challenges
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    Chapter 28 The Silver Lining in Gain-of-Function Experiments with Pathogens of Pandemic Potential
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    Chapter 29 Why Do Exceptionally Dangerous Gain-of-Function Experiments in Influenza?
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    Chapter 30 How Computational Models Enable Mechanistic Insights into Virus Infection
Attention for Chapter 28: The Silver Lining in Gain-of-Function Experiments with Pathogens of Pandemic Potential
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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8 X users
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4 Wikipedia pages

Citations

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13 Dimensions

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Chapter title
The Silver Lining in Gain-of-Function Experiments with Pathogens of Pandemic Potential
Chapter number 28
Book title
Influenza Virus
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8678-1_28
Pubmed ID
Book ISBNs
978-1-4939-8677-4, 978-1-4939-8678-1
Authors

Michael J. Imperiale, Don Howard, Arturo Casadevall, Imperiale, Michael J., Howard, Don, Casadevall, Arturo, Imperiale MJ, Howard D, Casadevall A

Abstract

Half a decade after the contentious "gain-of-function" (GOF) debate of 2012 that followed experimentation showing that highly pathogenic avian influenza virus could become mammalian transmissible, it is possible to reflect on the arguments for and against this type of research. In this essay we argue that GOF-type experiments have already produced important information not available from any other source while also providing information on pathogenesis and the requirements for optimizing strains for vaccine production. We analyze the moral arguments against GOF and find them less compelling for a variety of reasons ranging from the uncertainty of risk-benefit analysis to the reduced likelihood of accidents given the enhanced biosafety and biosecurity protocols currently in place. In our view the most important consequence of the GOF debate is that it brought renewed attention to biosafety protocols and ushered innovation in answering the relevant biological questions with greater safety. We conclude that GOF experiments should go forward provided that necessary biosafety and biosecurity conditions are in place.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Master 5 15%
Student > Ph. D. Student 5 15%
Other 2 6%
Lecturer 1 3%
Other 3 9%
Unknown 11 33%
Readers by discipline Count As %
Medicine and Dentistry 5 15%
Immunology and Microbiology 3 9%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Veterinary Science and Veterinary Medicine 2 6%
Other 7 21%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 05 February 2024.
All research outputs
#1,230,395
of 25,522,520 outputs
Outputs from Methods in molecular biology
#123
of 14,238 outputs
Outputs of similar age
#25,738
of 344,583 outputs
Outputs of similar age from Methods in molecular biology
#3
of 251 outputs
Altmetric has tracked 25,522,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,238 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 344,583 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.