↓ Skip to main content

Exploiting Genetic Interference for Antiviral Therapy

Overview of attention for article published in PLoS Genetics, May 2016
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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
14 X users
patent
4 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
83 Mendeley
citeulike
1 CiteULike
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.
Article details
Title
Exploiting Genetic Interference for Antiviral Therapy
Published in
PLoS Genetics, May 2016
DOI 10.1371/journal.pgen.1005986
Pubmed ID
Authors
Abstract

Rapidly evolving viruses are a major threat to human health. Such viruses are often highly pathogenic (e.g., influenza virus, HIV, Ebola virus) and routinely circumvent therapeutic intervention through mutational escape. Error-prone genome replication generates heterogeneous viral populations that rapidly adapt to new selection pressures, leading to resistance that emerges with treatment. However, population heterogeneity bears a cost: when multiple viral variants replicate within a cell, they can potentially interfere with each other, lowering viral fitness. This genetic interference can be exploited for antiviral strategies, either by taking advantage of a virus's inherent genetic diversity or through generating de novo interference by engineering a competing genome. Here, we discuss two such antiviral strategies, dominant drug targeting and therapeutic interfering particles. Both strategies harness the power of genetic interference to surmount two particularly vexing obstacles-the evolution of drug resistance and targeting therapy to high-risk populations-both of which impede treatment in resource-poor settings.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Japan 1 1%
Brazil 1 1%
Unknown 79 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 19 23%
Student > Ph. D. Student 13 16%
Student > Master 8 10%
Other 7 8%
Student > Bachelor 7 8%
Other 17 20%
Unknown 12 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 20 24%
Biochemistry, Genetics and Molecular Biology 15 18%
Medicine and Dentistry 8 10%
Immunology and Microbiology 5 6%
Nursing and Health Professions 4 5%
Other 16 19%
Unknown 15 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 31 July 2026.
All research outputs
#1,712,583
of 34,363,559 outputs
Outputs from PLoS Genetics
#994
of 9,870 outputs
Outputs of similar age
#21,364
of 336,632 outputs
Outputs of similar age from PLoS Genetics
#21
of 184 outputs
Altmetric has tracked 34,363,559 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 9,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done well, scoring higher than 89% 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 336,632 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 93% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.