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Quantifying Antigenic Relationships among the Lyssaviruses

Overview of attention for article published in Journal of Virology, September 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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106 Mendeley
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Article details
Title
Quantifying Antigenic Relationships among the Lyssaviruses
Published in
Journal of Virology, September 2010
DOI 10.1128/jvi.01153-10
Pubmed ID
Authors
Abstract

All lyssaviruses cause fatal encephalitis in mammals. There is sufficient antigenic variation within the genus to cause variable vaccine efficacy, but this variation is difficult to characterize quantitatively: sequence analysis cannot yet provide detailed antigenic information, and antigenic neutralization data have been refractory to high-resolution robust interpretation. Here, we address these issues by using state-of-the-art antigenic analyses to generate a high-resolution antigenic map of a global panel of 25 lyssaviruses. We compared the calculated antigenic distances with viral glycoprotein ectodomain sequence data. Although 67% of antigenic variation was predictable from the glycoprotein amino acid sequence, there are in some cases substantial differences between genetic and antigenic distances, thus highlighting the risk of inferring antigenic relationships solely from sequence data at this time. These differences included epidemiologically important antigenic differences between vaccine strains and wild-type rabies viruses. Further, we quantitatively assessed the antigenic relationships measured by using rabbit, mouse, and human sera, validating the use of nonhuman experimental animals as a model for determining antigenic variation in humans. The use of passive immune globulin is a crucial component of rabies postexposure prophylaxis, and here we also show that it is possible to predict the reactivity of immune globulin against divergent lyssaviruses.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 2 2%
United States 1 <1%
Norway 1 <1%
Cameroon 1 <1%
Unknown 101 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 26%
Researcher 21 20%
Student > Master 12 11%
Student > Bachelor 11 10%
Student > Doctoral Student 3 3%
Other 7 7%
Unknown 24 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 36 34%
Medicine and Dentistry 11 10%
Veterinary Science and Veterinary Medicine 9 8%
Immunology and Microbiology 7 7%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 14 13%
Unknown 24 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 July 2020.
All research outputs
#7,037,029
of 33,738,238 outputs
Outputs from Journal of Virology
#8,635
of 29,361 outputs
Outputs of similar age
#31,554
of 146,523 outputs
Outputs of similar age from Journal of Virology
#64
of 168 outputs
Altmetric has tracked 33,738,238 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,361 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 69% 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 146,523 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 78% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.