↓ Skip to main content

Hashkat: Large-scale simulations of online social networks

Overview of attention for article published in arXiv, February 2017
Altmetric Badge

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

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
26 Mendeley
Title
Hashkat: Large-scale simulations of online social networks
Published in
arXiv, February 2017
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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 27%
Student > Ph. D. Student 4 15%
Student > Bachelor 3 12%
Student > Postgraduate 2 8%
Student > Doctoral Student 2 8%
Other 8 31%
Readers by discipline Count As %
Computer Science 8 31%
Engineering 5 19%
Unspecified 4 15%
Business, Management and Accounting 4 15%
Materials Science 2 8%
Other 3 12%

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
#3,211,573
of 11,765,129 outputs
Outputs from arXiv
#78,615
of 590,505 outputs
Outputs of similar age
#87,757
of 257,838 outputs
Outputs of similar age from arXiv
#4,940
of 24,913 outputs
Altmetric has tracked 11,765,129 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 590,505 research outputs from this source. They receive a mean Attention Score of 3.0. 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 257,838 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 24,913 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.