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Prior immunity helps to explain wave-like behaviour of pandemic influenza in 1918-9

Overview of attention for article published in BMC Infectious Diseases, May 2010
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
policy
1 policy source
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
76 Mendeley
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Title
Prior immunity helps to explain wave-like behaviour of pandemic influenza in 1918-9
Published in
BMC Infectious Diseases, May 2010
DOI 10.1186/1471-2334-10-128
Pubmed ID
Authors

John D Mathews, Emma S McBryde, Jodie McVernon, Paul K Pallaghy, James M McCaw

Abstract

The ecology of influenza may be more complex than is usually assumed. For example, despite multiple waves in the influenza pandemic of 1918-19, many people in urban locations were apparently unaffected. Were they unexposed, or protected by pre-existing cross-immunity in the first wave, by acquired immunity in later waves, or were their infections asymptomatic?

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Australia 1 1%
France 1 1%
Israel 1 1%
United States 1 1%
Unknown 70 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 30%
Student > Ph. D. Student 18 24%
Professor > Associate Professor 6 8%
Student > Bachelor 5 7%
Student > Master 5 7%
Other 11 14%
Unknown 8 11%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Agricultural and Biological Sciences 12 16%
Mathematics 9 12%
Immunology and Microbiology 6 8%
Nursing and Health Professions 4 5%
Other 13 17%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 15 December 2021.
All research outputs
#1,198,547
of 24,546,092 outputs
Outputs from BMC Infectious Diseases
#276
of 8,206 outputs
Outputs of similar age
#3,628
of 100,305 outputs
Outputs of similar age from BMC Infectious Diseases
#3
of 39 outputs
Altmetric has tracked 24,546,092 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 8,206 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 96% 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 100,305 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 96% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.