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Comparing large-scale computational approaches to epidemic modeling: Agent-based versus structured metapopulation models

Overview of attention for article published in BMC Infectious Diseases, June 2010
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4 X users

Citations

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348 Mendeley
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Title
Comparing large-scale computational approaches to epidemic modeling: Agent-based versus structured metapopulation models
Published in
BMC Infectious Diseases, June 2010
DOI 10.1186/1471-2334-10-190
Pubmed ID
Authors

Marco Ajelli, Bruno Gonçalves, Duygu Balcan, Vittoria Colizza, Hao Hu, José J Ramasco, Stefano Merler, Alessandro Vespignani

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 3%
United Kingdom 6 2%
Canada 3 <1%
Italy 3 <1%
France 3 <1%
Mexico 2 <1%
Australia 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Other 8 2%
Unknown 308 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 26%
Researcher 91 26%
Student > Master 32 9%
Professor > Associate Professor 14 4%
Professor 14 4%
Other 59 17%
Unknown 46 13%
Readers by discipline Count As %
Computer Science 51 15%
Agricultural and Biological Sciences 48 14%
Medicine and Dentistry 32 9%
Mathematics 30 9%
Engineering 26 7%
Other 96 28%
Unknown 65 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 May 2022.
All research outputs
#14,257,478
of 24,831,063 outputs
Outputs from BMC Infectious Diseases
#3,396
of 8,341 outputs
Outputs of similar age
#77,155
of 99,243 outputs
Outputs of similar age from BMC Infectious Diseases
#32
of 44 outputs
Altmetric has tracked 24,831,063 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 58% 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 99,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.