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Modelling the effects of media during an influenza epidemic

Overview of attention for article published in BMC Public Health, April 2014
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1 X user
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1 Google+ user

Citations

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85 Dimensions

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58 Mendeley
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Title
Modelling the effects of media during an influenza epidemic
Published in
BMC Public Health, April 2014
DOI 10.1186/1471-2458-14-376
Pubmed ID
Authors

Shannon Collinson, Jane M Heffernan

Abstract

Mass media is used to inform individuals regarding diseases within a population. The effects of mass media during disease outbreaks have been studied in the mathematical modelling literature, by including 'media functions' that affect transmission rates in mathematical epidemiological models. The choice of function to employ, however, varies, and thus, epidemic outcomes that are important to inform public health may be affected.

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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 33%
Researcher 7 12%
Student > Master 7 12%
Student > Bachelor 4 7%
Student > Postgraduate 4 7%
Other 11 19%
Unknown 6 10%
Readers by discipline Count As %
Mathematics 11 19%
Social Sciences 9 16%
Medicine and Dentistry 7 12%
Computer Science 5 9%
Immunology and Microbiology 3 5%
Other 16 28%
Unknown 7 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 April 2014.
All research outputs
#16,003,624
of 25,311,095 outputs
Outputs from BMC Public Health
#11,780
of 16,970 outputs
Outputs of similar age
#126,708
of 232,991 outputs
Outputs of similar age from BMC Public Health
#188
of 259 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 27th percentile – i.e., 27% 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 232,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.