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An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices

Overview of attention for article published in BMC Infectious Diseases, April 2013
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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)

Mentioned by

news
1 news outlet
twitter
20 tweeters

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
157 Mendeley
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Title
An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices
Published in
BMC Infectious Diseases, April 2013
DOI 10.1186/1471-2334-13-185
Pubmed ID
Authors

Anna Machens, Francesco Gesualdo, Caterina Rizzo, Alberto E Tozzi, Alain Barrat, Ciro Cattuto

Abstract

The integration of empirical data in computational frameworks designed to model the spread of infectious diseases poses a number of challenges that are becoming more pressing with the increasing availability of high-resolution information on human mobility and contacts. This deluge of data has the potential to revolutionize the computational efforts aimed at simulating scenarios, designing containment strategies, and evaluating outcomes. However, the integration of highly detailed data sources yields models that are less transparent and general in their applicability. Hence, given a specific disease model, it is crucial to assess which representations of the raw data work best to inform the model, striking a balance between simplicity and detail.

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
France 2 1%
Switzerland 2 1%
Italy 2 1%
Kenya 1 <1%
Malaysia 1 <1%
South Africa 1 <1%
Australia 1 <1%
Unknown 139 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 24%
Researcher 34 22%
Student > Master 22 14%
Student > Bachelor 11 7%
Student > Doctoral Student 8 5%
Other 31 20%
Unknown 13 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 13%
Physics and Astronomy 19 12%
Medicine and Dentistry 18 11%
Mathematics 18 11%
Computer Science 16 10%
Other 44 28%
Unknown 22 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 27 May 2020.
All research outputs
#1,406,700
of 21,769,404 outputs
Outputs from BMC Infectious Diseases
#321
of 7,410 outputs
Outputs of similar age
#11,427
of 174,706 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 21,769,404 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,410 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 95% 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 174,706 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 1 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