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Agent-based computing from multi-agent systems to agent-based models: a visual survey

Overview of attention for article published in Scientometrics, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
8 X users
patent
4 patents
facebook
2 Facebook pages
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
246 Dimensions

Readers on

mendeley
528 Mendeley
citeulike
2 CiteULike
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Title
Agent-based computing from multi-agent systems to agent-based models: a visual survey
Published in
Scientometrics, August 2011
DOI 10.1007/s11192-011-0468-9
Authors

Muaz Niazi, Amir Hussain

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 528 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 1%
Germany 4 <1%
United States 4 <1%
France 3 <1%
Portugal 3 <1%
Brazil 2 <1%
Malaysia 2 <1%
Spain 2 <1%
Norway 1 <1%
Other 8 2%
Unknown 492 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 155 29%
Student > Master 100 19%
Researcher 58 11%
Student > Bachelor 34 6%
Student > Doctoral Student 27 5%
Other 80 15%
Unknown 74 14%
Readers by discipline Count As %
Computer Science 151 29%
Engineering 85 16%
Business, Management and Accounting 31 6%
Social Sciences 26 5%
Environmental Science 20 4%
Other 125 24%
Unknown 90 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 October 2023.
All research outputs
#3,396,800
of 24,319,828 outputs
Outputs from Scientometrics
#674
of 2,815 outputs
Outputs of similar age
#16,797
of 123,026 outputs
Outputs of similar age from Scientometrics
#4
of 23 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,815 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 76% 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 123,026 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.