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Estimating the impact of school closure on social mixing behaviour and the transmission of close contact infections in eight European countries

Overview of attention for article published in BMC Infectious Diseases, November 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
130 Mendeley
citeulike
2 CiteULike
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Title
Estimating the impact of school closure on social mixing behaviour and the transmission of close contact infections in eight European countries
Published in
BMC Infectious Diseases, November 2009
DOI 10.1186/1471-2334-9-187
Pubmed ID
Authors

Niel Hens, Girma Minalu Ayele, Nele Goeyvaerts, Marc Aerts, Joel Mossong, John W Edmunds, Philippe Beutels

Abstract

Mathematical modelling of infectious disease is increasingly used to help guide public health policy. As directly transmitted infections, such as influenza and tuberculosis, require contact between individuals, knowledge about contact patterns is a necessary pre-requisite of accurate model predictions. Of particular interest is the potential impact of school closure as a means of controlling pandemic influenza (and potentially other pathogens).

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 5%
Australia 3 2%
France 3 2%
Canada 2 2%
Japan 2 2%
Kenya 2 2%
United States 2 2%
Italy 1 <1%
Brazil 1 <1%
Other 2 2%
Unknown 106 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 33%
Student > Ph. D. Student 27 21%
Professor > Associate Professor 12 9%
Student > Master 12 9%
Student > Doctoral Student 7 5%
Other 29 22%
Readers by discipline Count As %
Medicine and Dentistry 35 27%
Mathematics 25 19%
Unspecified 22 17%
Agricultural and Biological Sciences 16 12%
Social Sciences 14 11%
Other 18 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 April 2017.
All research outputs
#1,127,584
of 9,716,694 outputs
Outputs from BMC Infectious Diseases
#423
of 4,135 outputs
Outputs of similar age
#15,723
of 127,062 outputs
Outputs of similar age from BMC Infectious Diseases
#7
of 138 outputs
Altmetric has tracked 9,716,694 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,135 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 127,062 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.