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Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium

Overview of attention for article published in BMC Infectious Diseases, January 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
2 news outlets

Readers on

mendeley
126 Mendeley
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Title
Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium
Published in
BMC Infectious Diseases, January 2009
DOI 10.1186/1471-2334-9-5
Pubmed ID
Authors

Niel Hens, Nele Goeyvaerts, Marc Aerts, Ziv Shkedy, Pierre Van Damme, Philippe Beutels

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 3 2%
Australia 3 2%
France 2 2%
Kenya 2 2%
Canada 1 <1%
Italy 1 <1%
Unknown 111 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 28%
Student > Ph. D. Student 32 25%
Student > Master 11 9%
Professor > Associate Professor 9 7%
Professor 8 6%
Other 17 13%
Unknown 14 11%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Mathematics 25 20%
Agricultural and Biological Sciences 11 9%
Social Sciences 8 6%
Computer Science 5 4%
Other 26 21%
Unknown 26 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 April 2024.
All research outputs
#2,522,839
of 25,660,026 outputs
Outputs from BMC Infectious Diseases
#752
of 8,676 outputs
Outputs of similar age
#11,481
of 186,046 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 10 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 91% 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 186,046 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 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them