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Dynamic agent composition for large-scale agent-based models

Overview of attention for article published in Complex Adaptive Systems Modeling, February 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
36 Mendeley
Title
Dynamic agent composition for large-scale agent-based models
Published in
Complex Adaptive Systems Modeling, February 2015
DOI 10.1186/s40294-015-0007-2
Authors

Fanny Boulaire, Mark Utting, Robin Drogemuller

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Austria 1 3%
Australia 1 3%
South Africa 1 3%
United States 1 3%
Unknown 31 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 36%
Researcher 8 22%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Professor 2 6%
Other 3 8%
Unknown 4 11%
Readers by discipline Count As %
Computer Science 12 33%
Environmental Science 4 11%
Social Sciences 3 8%
Psychology 2 6%
Engineering 2 6%
Other 8 22%
Unknown 5 14%
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 20 February 2015.
All research outputs
#14,593,651
of 24,885,505 outputs
Outputs from Complex Adaptive Systems Modeling
#41
of 79 outputs
Outputs of similar age
#198,480
of 397,113 outputs
Outputs of similar age from Complex Adaptive Systems Modeling
#1
of 1 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 79 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 397,113 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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