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Virus-host interactomics: new insights and opportunities for antiviral drug discovery

Overview of attention for article published in Genome Medicine, November 2014
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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 (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
169 Mendeley
citeulike
1 CiteULike
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Title
Virus-host interactomics: new insights and opportunities for antiviral drug discovery
Published in
Genome Medicine, November 2014
DOI 10.1186/s13073-014-0115-1
Pubmed ID
Authors

Benoît de Chassey, Laurène Meyniel-Schicklin, Jacky Vonderscher, Patrice André, Vincent Lotteau

Abstract

The current therapeutic arsenal against viral infections remains limited, with often poor efficacy and incomplete coverage, and appears inadequate to face the emergence of drug resistance. Our understanding of viral biology and pathophysiology and our ability to develop a more effective antiviral arsenal would greatly benefit from a more comprehensive picture of the events that lead to viral replication and associated symptoms. Towards this goal, the construction of virus-host interactomes is instrumental, mainly relying on the assumption that a viral infection at the cellular level can be viewed as a number of perturbations introduced into the host protein network when viral proteins make new connections and disrupt existing ones. Here, we review advances in interactomic approaches for viral infections, focusing on high-throughput screening (HTS) technologies and on the generation of high-quality datasets. We show how these are already beginning to offer intriguing perspectives in terms of virus-host cell biology and the control of cellular functions, and we conclude by offering a summary of the current situation regarding the potential development of host-oriented antiviral therapeutics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Italy 1 <1%
Sweden 1 <1%
South Africa 1 <1%
Denmark 1 <1%
Spain 1 <1%
Unknown 163 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 21%
Student > Master 28 17%
Student > Ph. D. Student 23 14%
Student > Bachelor 18 11%
Student > Doctoral Student 10 6%
Other 28 17%
Unknown 26 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 51 30%
Agricultural and Biological Sciences 34 20%
Immunology and Microbiology 13 8%
Pharmacology, Toxicology and Pharmaceutical Science 8 5%
Chemistry 6 4%
Other 23 14%
Unknown 34 20%
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 25 June 2021.
All research outputs
#3,582,190
of 25,483,400 outputs
Outputs from Genome Medicine
#769
of 1,592 outputs
Outputs of similar age
#48,267
of 370,108 outputs
Outputs of similar age from Genome Medicine
#23
of 42 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 51% 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 370,108 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 86% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.