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A Metric of Influential Spreading during Contagion Dynamics through the Air Transportation Network

Overview of attention for article published in PLOS ONE, July 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
4 news outlets
blogs
8 blogs
twitter
31 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
reddit
1 Redditor
pinterest
1 Pinner

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
3 CiteULike
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Title
A Metric of Influential Spreading during Contagion Dynamics through the Air Transportation Network
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040961
Pubmed ID
Authors

Christos Nicolaides, Luis Cueto-Felgueroso, Marta C. González, Ruben Juanes

Abstract

The spread of infectious diseases at the global scale is mediated by long-range human travel. Our ability to predict the impact of an outbreak on human health requires understanding the spatiotemporal signature of early-time spreading from a specific location. Here, we show that network topology, geography, traffic structure and individual mobility patterns are all essential for accurate predictions of disease spreading. Specifically, we study contagion dynamics through the air transportation network by means of a stochastic agent-tracking model that accounts for the spatial distribution of airports, detailed air traffic and the correlated nature of mobility patterns and waiting-time distributions of individual agents. From the simulation results and the empirical air-travel data, we formulate a metric of influential spreading--the geographic spreading centrality--which accounts for spatial organization and the hierarchical structure of the network traffic, and provides an accurate measure of the early-time spreading power of individual nodes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 6%
Brazil 2 2%
Colombia 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
Italy 1 <1%
Chile 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Other 3 3%
Unknown 88 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 28%
Researcher 16 15%
Student > Master 16 15%
Professor > Associate Professor 10 9%
Professor 8 8%
Other 17 16%
Unknown 9 8%
Readers by discipline Count As %
Computer Science 14 13%
Physics and Astronomy 12 11%
Agricultural and Biological Sciences 12 11%
Engineering 12 11%
Medicine and Dentistry 8 8%
Other 32 30%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 17 January 2020.
All research outputs
#365,671
of 25,320,147 outputs
Outputs from PLOS ONE
#5,204
of 219,660 outputs
Outputs of similar age
#1,578
of 170,063 outputs
Outputs of similar age from PLOS ONE
#66
of 4,036 outputs
Altmetric has tracked 25,320,147 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 97% 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 170,063 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 99% of its contemporaries.
We're also able to compare this research output to 4,036 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 98% of its contemporaries.