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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 (#9 of 515,010)
  • 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
2929 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 1,502 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 2,929 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 <1%
United States 6 <1%
Germany 4 <1%
Netherlands 3 <1%
Belgium 3 <1%
Portugal 2 <1%
China 2 <1%
France 2 <1%
Japan 2 <1%
Other 17 <1%
Unknown 2881 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 83 3%
Student > Master 38 1%
Researcher 38 1%
Student > Bachelor 21 <1%
Professor > Associate Professor 20 <1%
Other 74 3%
Unknown 2655 91%
Readers by discipline Count As %
Computer Science 69 2%
Social Sciences 37 1%
Business, Management and Accounting 27 <1%
Agricultural and Biological Sciences 24 <1%
Unspecified 18 <1%
Other 99 3%
Unknown 2655 91%

Attention Score in Context

This research output has an Altmetric Attention Score of 2470. 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 07 July 2019.
All research outputs
#472
of 13,623,773 outputs
Outputs from arXiv
#9
of 515,010 outputs
Outputs of similar age
#13
of 245,259 outputs
Outputs of similar age from arXiv
#2
of 11,189 outputs
Altmetric has tracked 13,623,773 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 515,010 research outputs from this source. They receive a mean Attention Score of 3.7. 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 245,259 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 11,189 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.