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Metapopulation epidemic models with heterogeneous mixing and travel behaviour

Overview of attention for article published in Theoretical Biology and Medical Modelling, January 2014
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4 X users

Citations

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93 Dimensions

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Title
Metapopulation epidemic models with heterogeneous mixing and travel behaviour
Published in
Theoretical Biology and Medical Modelling, January 2014
DOI 10.1186/1742-4682-11-3
Pubmed ID
Authors

Andrea Apolloni, Chiara Poletto, José J Ramasco, Pablo Jensen, Vittoria Colizza

Abstract

Determining the pandemic potential of an emerging infectious disease and how it depends on the various epidemic and population aspects is critical for the preparation of an adequate response aimed at its control. The complex interplay between population movements in space and non-homogeneous mixing patterns have so far hindered the fundamental understanding of the conditions for spatial invasion through a general theoretical framework. To address this issue, we present an analytical modelling approach taking into account such interplay under general conditions of mobility and interactions, in the simplifying assumption of two population classes.

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

Geographical breakdown

Country Count As %
United States 5 3%
France 2 1%
United Kingdom 2 1%
Italy 1 <1%
South Africa 1 <1%
Sri Lanka 1 <1%
Colombia 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 0 0%
Unknown 135 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 25%
Researcher 28 19%
Student > Master 17 11%
Student > Bachelor 11 7%
Professor > Associate Professor 10 7%
Other 26 17%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 15%
Mathematics 21 14%
Computer Science 16 11%
Engineering 15 10%
Physics and Astronomy 14 9%
Other 36 24%
Unknown 26 17%
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 31 January 2014.
All research outputs
#13,400,446
of 22,739,983 outputs
Outputs from Theoretical Biology and Medical Modelling
#138
of 287 outputs
Outputs of similar age
#163,214
of 306,020 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 7 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 49th percentile – i.e., 49% 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 306,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.