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Epidemiological modeling of online social network dynamics

Overview of attention for article published in arXiv, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 472,250)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Readers on

mendeley
33 Mendeley
Title
Epidemiological modeling of online social network dynamics
Published in
arXiv, January 2014
Authors

John Cannarella, Joshua A. Spechler

Twitter Demographics

The data shown below were collected from the profiles of 1,543 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
Brazil 2 6%
Russian Federation 1 3%
Australia 1 3%
Japan 1 3%
China 1 3%
Greece 1 3%
Unknown 24 73%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Bachelor 5 15%
Student > Master 5 15%
Professor > Associate Professor 4 12%
Other 3 9%
Other 8 24%
Readers by discipline Count As %
Computer Science 10 30%
Social Sciences 7 21%
Agricultural and Biological Sciences 4 12%
Engineering 3 9%
Arts and Humanities 2 6%
Other 7 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2508. 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 23 August 2017.
All research outputs
#177
of 8,413,277 outputs
Outputs from arXiv
#5
of 472,250 outputs
Outputs of similar age
#12
of 190,761 outputs
Outputs of similar age from arXiv
#2
of 20,019 outputs
Altmetric has tracked 8,413,277 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 472,250 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% 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 190,761 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 20,019 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 99% of its contemporaries.