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A molecular arms race between host innate antiviral response and emerging human coronaviruses

Overview of attention for article published in Virologica Sinica, January 2016
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
2 blogs
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
136 Mendeley
Title
A molecular arms race between host innate antiviral response and emerging human coronaviruses
Published in
Virologica Sinica, January 2016
DOI 10.1007/s12250-015-3683-3
Pubmed ID
Authors

Lok-Yin Roy Wong, Pak-Yin Lui, Dong-Yan Jin

Abstract

Coronaviruses have been closely related with mankind for thousands of years. Communityacquired human coronaviruses have long been recognized to cause common cold. However, zoonotic coronaviruses are now becoming more a global concern with the discovery of highly pathogenic severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) coronaviruses causing severe respiratory diseases. Infections by these emerging human coronaviruses are characterized by less robust interferon production. Treatment of patients with recombinant interferon regimen promises beneficial outcomes, suggesting that compromised interferon expression might contribute at least partially to the severity of disease. The mechanisms by which coronaviruses evade host innate antiviral response are under intense investigations. This review focuses on the fierce arms race between host innate antiviral immunity and emerging human coronaviruses. Particularly, the host pathogen recognition receptors and the signal transduction pathways to mount an effective antiviral response against SARS and MERS coronavirus infection are discussed. On the other hand, the counter-measures evolved by SARS and MERS coronaviruses to circumvent host defense are also dissected. With a better understanding of the dynamic interaction between host and coronaviruses, it is hoped that insights on the pathogenesis of newly-identified highly pathogenic human coronaviruses and new strategies in antiviral development can be derived.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 15%
Student > Master 21 15%
Student > Bachelor 17 13%
Student > Ph. D. Student 16 12%
Other 11 8%
Other 30 22%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 15%
Biochemistry, Genetics and Molecular Biology 20 15%
Medicine and Dentistry 20 15%
Immunology and Microbiology 16 12%
Veterinary Science and Veterinary Medicine 5 4%
Other 23 17%
Unknown 31 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 10 June 2020.
All research outputs
#2,590,779
of 25,144,989 outputs
Outputs from Virologica Sinica
#54
of 656 outputs
Outputs of similar age
#43,619
of 408,018 outputs
Outputs of similar age from Virologica Sinica
#5
of 20 outputs
Altmetric has tracked 25,144,989 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 91% 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 408,018 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 89% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.