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Influenza Virus

Overview of attention for book
Cover of 'Influenza Virus'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 29: Why Do Exceptionally Dangerous Gain-of-Function Experiments in Influenza?
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 14,336)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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Chapter title
Why Do Exceptionally Dangerous Gain-of-Function Experiments in Influenza?
Chapter number 29
Book title
Influenza Virus
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8678-1_29
Pubmed ID
Book ISBNs
978-1-4939-8677-4, 978-1-4939-8678-1
Authors

Marc Lipsitch, Lipsitch, Marc, Lipsitch M

Abstract

This chapter makes the case against performing exceptionally dangerous gain-of-function experiments that are designed to create potentially pandemic and novel strains of influenza, for example, by enhancing the airborne transmissibility in mammals of highly virulent avian influenza strains. This is a question of intense debate over the last 5 years, though the history of such experiments goes back at least to the synthesis of viable influenza A H1N1 (1918) based on material preserved from the 1918 pandemic. This chapter makes the case that experiments to create potential pandemic pathogens (PPPs) are nearly unique in that they present biosafety risks that extend well beyond the experimenter or laboratory performing them; an accidental release could, as the name suggests, lead to global spread of a virulent virus, a biosafety incident on a scale never before seen. In such cases, biosafety considerations should be uppermost in the consideration of alternative approaches to experimental objectives and design, rather than being settled after the fact, as is appropriately done for most research involving pathogens. The extensive recent discussion of the magnitude of risks from such experiments is briefly reviewed. The chapter argues that, while there are indisputably certain questions that can be answered only by gain-of-function experiments in highly pathogenic strains, these questions are narrow and unlikely to meaningfully advance public health goals such as vaccine production and pandemic prediction. Alternative approaches to experimental influenza virology and characterization of existing strains are in general completely safe, higher throughput, more generalizable, and less costly than creation of PPP in the laboratory and can thereby better inform public health. Indeed, virtually every finding of recent PPP experiments that has been cited for its public health value was predated by similar findings using safe methodologies. The chapter concludes that the unique scientific and public health value of PPP experiments is inadequate to justify the unique risks they entail and that researchers would be well-advised to turn their talents to other methodologies that will be safe and more rewarding scientifically.

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X Demographics

The data shown below were collected from the profiles of 627 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 15%
Student > Ph. D. Student 7 13%
Researcher 7 13%
Other 4 7%
Student > Master 4 7%
Other 7 13%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 7 13%
Biochemistry, Genetics and Molecular Biology 6 11%
Immunology and Microbiology 5 9%
Nursing and Health Professions 4 7%
Agricultural and Biological Sciences 3 5%
Other 10 18%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 980. 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 17 April 2024.
All research outputs
#16,949
of 25,728,855 outputs
Outputs from Methods in molecular biology
#4
of 14,336 outputs
Outputs of similar age
#312
of 345,123 outputs
Outputs of similar age from Methods in molecular biology
#1
of 251 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,336 research outputs from this source. They receive a mean Attention Score of 3.4. 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 345,123 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 99% 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.