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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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Mentioned by

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3 Facebook pages
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1 Google+ user

Readers on

mendeley
37 Mendeley
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Article details
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

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 3%
United States 1 3%
Germany 1 3%
Australia 1 3%
Austria 1 3%
Unknown 32 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 35%
Researcher 8 22%
Other 3 8%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 6 16%
Readers by discipline
Readers by discipline Count As %
Computer Science 11 30%
Environmental Science 4 11%
Social Sciences 3 8%
Engineering 3 8%
Psychology 2 5%
Other 7 19%
Unknown 7 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#22,833,540
of 34,235,209 outputs
Outputs from Complex Adaptive Systems Modeling
#51
of 81 outputs
Outputs of similar age
#277,251
of 437,176 outputs
Outputs of similar age from Complex Adaptive Systems Modeling
#1
of 1 outputs
Altmetric has tracked 34,235,209 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 35th percentile – i.e., 35% 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 437,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% 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