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Linking Time-Varying Symptomatology and Intensity of Infectiousness to Patterns of Norovirus Transmission

Overview of attention for article published in PLOS ONE, July 2013
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Title
Linking Time-Varying Symptomatology and Intensity of Infectiousness to Patterns of Norovirus Transmission
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068413
Pubmed ID
Authors

Jonathan L. Zelner, Benjamin A. Lopman, Aron J. Hall, Sebastien Ballesteros, Bryan T. Grenfell

Abstract

Norovirus (NoV) transmission may be impacted by changes in symptom intensity. Sudden onset of vomiting, which may cause an initial period of hyper-infectiousness, often marks the beginning of symptoms. This is often followed by: a 1-3 day period of milder symptoms, environmental contamination following vomiting, and post-symptomatic shedding that may result in transmission at progressively lower rates. Existing models have not included time-varying infectiousness, though representing these features could add utility to models of NoV transmission.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 10%
Japan 1 2%
Vietnam 1 2%
Unknown 35 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 8 20%
Other 6 15%
Student > Master 5 12%
Student > Bachelor 2 5%
Other 5 12%
Unknown 3 7%
Readers by discipline Count As %
Medicine and Dentistry 13 32%
Agricultural and Biological Sciences 6 15%
Environmental Science 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Mathematics 3 7%
Other 6 15%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from PLOS ONE
#154,156
of 193,925 outputs
Outputs of similar age
#148,338
of 197,947 outputs
Outputs of similar age from PLOS ONE
#3,642
of 4,796 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,925 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 10th percentile – i.e., 10% 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 197,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,796 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.