↓ Skip to main content

PLOS

High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School

Overview of attention for article published in PLOS ONE, August 2011
Altmetric Badge

Mentioned by

news
6 news outlets
blogs
4 blogs
policy
1 policy source
twitter
517 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
664 Dimensions

Readers on

mendeley
307 Mendeley
citeulike
3 CiteULike
Title
High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0023176
Pubmed ID
Authors

Juliette Stehlé, Nicolas Voirin, Alain Barrat, Ciro Cattuto, Lorenzo Isella, Jean-François Pinton, Marco Quaggiotto, Wouter Van den Broeck, Corinne Régis, Bruno Lina, Philippe Vanhems

Abstract

Little quantitative information is available on the mixing patterns of children in school environments. Describing and understanding contacts between children at school would help quantify the transmission opportunities of respiratory infections and identify situations within schools where the risk of transmission is higher. We report on measurements carried out in a French school (6-12 years children), where we collected data on the time-resolved face-to-face proximity of children and teachers using a proximity-sensing infrastructure based on radio frequency identification devices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 517 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 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Italy 4 1%
France 3 <1%
Australia 3 <1%
Spain 3 <1%
United Kingdom 3 <1%
Iran, Islamic Republic of 2 <1%
Ireland 1 <1%
Austria 1 <1%
Other 4 1%
Unknown 278 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 24%
Researcher 62 20%
Student > Master 33 11%
Student > Doctoral Student 21 7%
Professor > Associate Professor 19 6%
Other 60 20%
Unknown 39 13%
Readers by discipline Count As %
Computer Science 46 15%
Physics and Astronomy 40 13%
Social Sciences 25 8%
Medicine and Dentistry 25 8%
Mathematics 23 7%
Other 86 28%
Unknown 62 20%