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Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors

Overview of attention for article published in PLOS ONE, February 2011
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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15 X users
patent
1 patent

Citations

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208 Dimensions

Readers on

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186 Mendeley
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Title
Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
Published in
PLOS ONE, February 2011
DOI 10.1371/journal.pone.0017144
Pubmed ID
Authors

Lorenzo Isella, Mariateresa Romano, Alain Barrat, Ciro Cattuto, Vittoria Colizza, Wouter Van den Broeck, Francesco Gesualdo, Elisabetta Pandolfi, Lucilla Ravà, Caterina Rizzo, Alberto Eugenio Tozzi

Abstract

Nosocomial infections place a substantial burden on health care systems and represent one of the major issues in current public health, requiring notable efforts for its prevention. Understanding the dynamics of infection transmission in a hospital setting is essential for tailoring interventions and predicting the spread among individuals. Mathematical models need to be informed with accurate data on contacts among individuals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 5 3%
United States 4 2%
France 3 2%
United Kingdom 3 2%
Germany 2 1%
Spain 2 1%
Belgium 1 <1%
Malaysia 1 <1%
Portugal 1 <1%
Other 1 <1%
Unknown 163 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 23%
Researcher 32 17%
Student > Master 23 12%
Student > Bachelor 16 9%
Other 11 6%
Other 39 21%
Unknown 22 12%
Readers by discipline Count As %
Medicine and Dentistry 36 19%
Computer Science 27 15%
Physics and Astronomy 18 10%
Agricultural and Biological Sciences 15 8%
Engineering 14 8%
Other 47 25%
Unknown 29 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 13 October 2020.
All research outputs
#2,731,266
of 25,476,463 outputs
Outputs from PLOS ONE
#33,451
of 221,918 outputs
Outputs of similar age
#11,813
of 119,767 outputs
Outputs of similar age from PLOS ONE
#273
of 1,407 outputs
Altmetric has tracked 25,476,463 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 221,918 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 84% 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 119,767 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 90% of its contemporaries.
We're also able to compare this research output to 1,407 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.