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Simulation of an SEIR infectious disease model on the dynamic contact network of conference attendees

Overview of attention for article published in BMC Medicine, July 2011
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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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
18 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
339 Dimensions

Readers on

mendeley
265 Mendeley
citeulike
1 CiteULike
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Title
Simulation of an SEIR infectious disease model on the dynamic contact network of conference attendees
Published in
BMC Medicine, July 2011
DOI 10.1186/1741-7015-9-87
Pubmed ID
Authors

Juliette Stehlé, Nicolas Voirin, Alain Barrat, Ciro Cattuto, Vittoria Colizza, Lorenzo Isella, Corinne Régis, Jean-François Pinton, Nagham Khanafer, Wouter Van den Broeck, Philippe Vanhems

Abstract

The spread of infectious diseases crucially depends on the pattern of contacts between individuals. Knowledge of these patterns is thus essential to inform models and computational efforts. However, there are few empirical studies available that provide estimates of the number and duration of contacts between social groups. Moreover, their space and time resolutions are limited, so that data are not explicit at the person-to-person level, and the dynamic nature of the contacts is disregarded. In this study, we aimed to assess the role of data-driven dynamic contact patterns between individuals, and in particular of their temporal aspects, in shaping the spread of a simulated epidemic in the population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
France 4 2%
Italy 3 1%
United Kingdom 2 <1%
Portugal 1 <1%
Sweden 1 <1%
Germany 1 <1%
India 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 241 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 28%
Researcher 48 18%
Student > Master 30 11%
Professor > Associate Professor 17 6%
Professor 13 5%
Other 52 20%
Unknown 32 12%
Readers by discipline Count As %
Computer Science 41 15%
Agricultural and Biological Sciences 37 14%
Physics and Astronomy 33 12%
Mathematics 24 9%
Medicine and Dentistry 22 8%
Other 54 20%
Unknown 54 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 16 September 2022.
All research outputs
#1,110,556
of 23,881,329 outputs
Outputs from BMC Medicine
#773
of 3,613 outputs
Outputs of similar age
#4,569
of 121,485 outputs
Outputs of similar age from BMC Medicine
#8
of 29 outputs
Altmetric has tracked 23,881,329 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 3,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.6. This one has done well, scoring higher than 78% 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 121,485 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 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.