↓ Skip to main content

Dove Medical Press

Drug resistance in influenza A virus: the epidemiology and management

Overview of attention for article published in Infection and Drug Resistance, April 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
8 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Readers on

mendeley
331 Mendeley
Title
Drug resistance in influenza A virus: the epidemiology and management
Published in
Infection and Drug Resistance, April 2017
DOI 10.2147/idr.s105473
Pubmed ID
Authors

Mazhar Hussain, Henry D Galvin, Tatt Y Haw, Ashley N Nutsford, Matloob Husain

Abstract

Influenza A virus (IAV) is the sole cause of the unpredictable influenza pandemics and deadly zoonotic outbreaks and constitutes at least half of the cause of regular annual influenza epidemics in humans. Two classes of anti-IAV drugs, adamantanes and neuraminidase (NA) inhibitors (NAIs) targeting the viral components M2 ion channel and NA, respectively, have been approved to treat IAV infections. However, IAV rapidly acquired resistance against both classes of drugs by mutating these viral components. The adamantane-resistant IAV has established itself in nature, and a majority of the IAV subtypes, especially the most common H1N1 and H3N2, circulating globally are resistant to adamantanes. Consequently, adamantanes have become practically obsolete as anti-IAV drugs. Similarly, up to 100% of the globally circulating IAV H1N1 subtypes were resistant to oseltamivir, the most commonly used NAI, until 2009. However, the 2009 pandemic IAV H1N1 subtype, which was sensitive to NAIs and has now become one of the dominant seasonal influenza virus strains, has replaced the pre-2009 oseltamivir-resistant H1N1 variants. This review traces the epidemiology of both adamantane- and NAI-resistant IAV subtypes since the approval of these drugs and highlights the susceptibility status of currently circulating IAV subtypes to NAIs. Further, it provides an overview of currently and soon to be available control measures to manage current and emerging drug-resistant IAV. Finally, this review outlines the research directions that should be undertaken to manage the circulation of IAV in intermediate hosts and develop effective and alternative anti-IAV therapies.

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

Geographical breakdown

Country Count As %
Unknown 331 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 16%
Student > Bachelor 51 15%
Researcher 34 10%
Student > Master 33 10%
Student > Doctoral Student 15 5%
Other 50 15%
Unknown 95 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 20%
Agricultural and Biological Sciences 39 12%
Immunology and Microbiology 32 10%
Medicine and Dentistry 23 7%
Chemistry 16 5%
Other 50 15%
Unknown 104 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 July 2022.
All research outputs
#3,606,451
of 25,809,907 outputs
Outputs from Infection and Drug Resistance
#145
of 2,074 outputs
Outputs of similar age
#60,173
of 325,084 outputs
Outputs of similar age from Infection and Drug Resistance
#1
of 7 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,074 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 92% 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 325,084 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
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 all of them