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Hashkat: Large-scale simulations of online social networks

Overview of attention for article published in arXiv, October 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
8 tweeters

Readers on

mendeley
24 Mendeley
Title
Hashkat: Large-scale simulations of online social networks
Published in
arXiv, October 2016
DOI 10.1007/s13278-017-0424-7
Authors

Kevin Ryczko, Adam Domurad, Nicholas Buhagiar, Isaac Tamblyn

Twitter Demographics

The data shown below were collected from the profiles of 8 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Bachelor 4 17%
Student > Ph. D. Student 3 13%
Student > Postgraduate 2 8%
Student > Doctoral Student 2 8%
Other 7 29%
Readers by discipline Count As %
Computer Science 6 25%
Engineering 5 21%
Business, Management and Accounting 4 17%
Unspecified 3 13%
Materials Science 2 8%
Other 4 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 April 2018.
All research outputs
#2,512,920
of 9,700,518 outputs
Outputs from arXiv
#68,823
of 539,185 outputs
Outputs of similar age
#85,484
of 254,342 outputs
Outputs of similar age from arXiv
#4,945
of 25,032 outputs
Altmetric has tracked 9,700,518 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 539,185 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 86% 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 254,342 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 25,032 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.