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The Role of Social Contacts and Original Antigenic Sin in Shaping the Age Pattern of Immunity to Seasonal Influenza

Overview of attention for article published in PLoS Computational Biology, October 2012
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
82 Mendeley
citeulike
1 CiteULike
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Title
The Role of Social Contacts and Original Antigenic Sin in Shaping the Age Pattern of Immunity to Seasonal Influenza
Published in
PLoS Computational Biology, October 2012
DOI 10.1371/journal.pcbi.1002741
Pubmed ID
Authors

Adam J. Kucharski, Julia R. Gog

Abstract

Recent serological studies of seasonal influenza A in humans suggest a striking characteristic profile of immunity against age, which holds across different countries and against different subtypes of influenza. For both H1N1 and H3N2, the proportion of the population seropositive to recently circulated strains peaks in school-age children, reaches a minimum between ages 35-65, then rises again in the older ages. This pattern is little understood. Variable mixing between different age classes can have a profound effect on disease dynamics, and is hence the obvious candidate explanation for the profile, but using a mathematical model of multiple influenza strains, we see that age dependent transmission based on mixing data from social contact surveys cannot on its own explain the observed pattern. Instead, the number of seropositive individuals in a population may be a consequence of 'original antigenic sin'; if the first infection of a lifetime dominates subsequent immune responses, we demonstrate that it is possible to reproduce the observed relationship between age and seroprevalence. We propose a candidate mechanism for this relationship, by which original antigenic sin, along with antigenic drift and vaccination, results in the age profile of immunity seen in empirical studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 6%
United Kingdom 3 4%
Portugal 1 1%
Kenya 1 1%
Switzerland 1 1%
France 1 1%
Israel 1 1%
Unknown 69 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 29%
Researcher 20 24%
Student > Master 8 10%
Student > Postgraduate 5 6%
Student > Bachelor 4 5%
Other 12 15%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 27%
Medicine and Dentistry 17 21%
Mathematics 12 15%
Immunology and Microbiology 4 5%
Business, Management and Accounting 2 2%
Other 11 13%
Unknown 14 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 April 2015.
All research outputs
#1,835,227
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#1,570
of 9,043 outputs
Outputs of similar age
#12,010
of 202,849 outputs
Outputs of similar age from PLoS Computational Biology
#18
of 113 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 82% 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 202,849 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 94% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.