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Hashkat: large-scale simulations of online social networks

Overview of attention for article published in Social Network Analysis and Mining, February 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
7 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
42 Mendeley
Title
Hashkat: large-scale simulations of online social networks
Published in
Social Network Analysis and Mining, February 2017
DOI 10.1007/s13278-017-0424-7
Authors

Kevin Ryczko, Adam Domurad, Nicholas Buhagiar, Isaac Tamblyn

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Student > Ph. D. Student 7 17%
Student > Bachelor 5 12%
Researcher 3 7%
Professor > Associate Professor 3 7%
Other 8 19%
Unknown 8 19%
Readers by discipline Count As %
Computer Science 11 26%
Engineering 6 14%
Business, Management and Accounting 5 12%
Social Sciences 3 7%
Mathematics 2 5%
Other 4 10%
Unknown 11 26%
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 25 October 2016.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from Social Network Analysis and Mining
#125
of 376 outputs
Outputs of similar age
#149,602
of 425,214 outputs
Outputs of similar age from Social Network Analysis and Mining
#1
of 2 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 376 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 60% 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 425,214 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 50% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them