↓ Skip to main content

Antiviral Approaches against Influenza Virus

Overview of attention for article published in Clinical Microbiology Reviews, January 2023
Altmetric Badge

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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
81 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
37 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Antiviral Approaches against Influenza Virus
Published in
Clinical Microbiology Reviews, January 2023
DOI 10.1128/cmr.00040-22
Pubmed ID
Authors

Rashmi Kumari, Suresh D. Sharma, Amrita Kumar, Zachary Ende, Margarita Mishina, Yuanyuan Wang, Zackary Falls, Ram Samudrala, Jan Pohl, Paul R. Knight, Suryaprakash Sambhara

Abstract

Preventing and controlling influenza virus infection remains a global public health challenge, as it causes seasonal epidemics to unexpected pandemics. These infections are responsible for high morbidity, mortality, and substantial economic impact. Vaccines are the prophylaxis mainstay in the fight against influenza. However, vaccination fails to confer complete protection due to inadequate vaccination coverages, vaccine shortages, and mismatches with circulating strains. Antivirals represent an important prophylactic and therapeutic measure to reduce influenza-associated morbidity and mortality, particularly in high-risk populations. Here, we review current FDA-approved influenza antivirals with their mechanisms of action, and different viral- and host-directed influenza antiviral approaches, including immunomodulatory interventions in clinical development. Furthermore, we also illustrate the potential utility of machine learning in developing next-generation antivirals against influenza.

X Demographics

X Demographics

The data shown below were collected from the profiles of 81 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Lecturer 2 5%
Other 2 5%
Student > Master 2 5%
Other 5 14%
Unknown 19 51%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 11%
Biochemistry, Genetics and Molecular Biology 4 11%
Nursing and Health Professions 3 8%
Immunology and Microbiology 3 8%
Medicine and Dentistry 2 5%
Other 1 3%
Unknown 20 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 08 June 2023.
All research outputs
#876,616
of 25,753,031 outputs
Outputs from Clinical Microbiology Reviews
#175
of 1,167 outputs
Outputs of similar age
#19,366
of 476,604 outputs
Outputs of similar age from Clinical Microbiology Reviews
#2
of 7 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.5. This one has done well, scoring higher than 85% 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 476,604 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 95% 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 5 of them.