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Evoplex: A platform for agent-based modeling on networks

Overview of attention for article published in SoftwareX, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 540)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
38 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Evoplex: A platform for agent-based modeling on networks
Published in
SoftwareX, January 2019
DOI 10.1016/j.softx.2019.02.009
Authors

Marcos Cardinot, Colm O’Riordan, Josephine Griffith, Matjaž Perc

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Student > Master 9 12%
Researcher 8 11%
Student > Bachelor 7 9%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 17 23%
Readers by discipline Count As %
Computer Science 18 24%
Engineering 7 9%
Social Sciences 6 8%
Economics, Econometrics and Finance 3 4%
Business, Management and Accounting 3 4%
Other 15 20%
Unknown 22 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 29 March 2019.
All research outputs
#1,800,896
of 25,571,620 outputs
Outputs from SoftwareX
#14
of 540 outputs
Outputs of similar age
#40,860
of 447,898 outputs
Outputs of similar age from SoftwareX
#3
of 30 outputs
Altmetric has tracked 25,571,620 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 540 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 97% 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 447,898 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 90% of its contemporaries.
We're also able to compare this research output to 30 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 93% of its contemporaries.