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Searching for Sharp Drops in the Incidence of Pandemic A/H1N1 Influenza by Single Year of Age

Overview of attention for article published in PLOS ONE, August 2012
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Citations

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47 Mendeley
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Title
Searching for Sharp Drops in the Incidence of Pandemic A/H1N1 Influenza by Single Year of Age
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042328
Pubmed ID
Authors

Jessica Hartman Jacobs, Brett Nicholas Archer, Michael G. Baker, Benjamin J. Cowling, Richard T. Heffernan, Geoff Mercer, Osvaldo Uez, Wanna Hanshaoworakul, Cécile Viboud, Joel Schwartz, Eric Tchetgen Tchetgen, Marc Lipsitch

Abstract

During the 2009 H1N1 pandemic (pH1N1), morbidity and mortality sparing was observed among the elderly population; it was hypothesized that this age group benefited from immunity to pH1N1 due to cross-reactive antibodies generated from prior infection with antigenically similar influenza viruses. Evidence from serologic studies and genetic similarities between pH1N1 and historical influenza viruses suggest that the incidence of pH1N1 cases should drop markedly in age cohorts born prior to the disappearance of H1N1 in 1957, namely those at least 52-53 years old in 2009, but the precise range of ages affected has not been delineated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 2%
Taiwan 1 2%
Australia 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 32%
Student > Ph. D. Student 8 17%
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Postgraduate 3 6%
Other 7 15%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 28%
Medicine and Dentistry 9 19%
Immunology and Microbiology 7 15%
Biochemistry, Genetics and Molecular Biology 4 9%
Mathematics 3 6%
Other 4 9%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2013.
All research outputs
#12,858,389
of 22,673,450 outputs
Outputs from PLOS ONE
#100,098
of 193,525 outputs
Outputs of similar age
#87,378
of 164,813 outputs
Outputs of similar age from PLOS ONE
#1,999
of 4,082 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 164,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,082 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.