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Multi-Agent-Based Simulation XIII

Overview of attention for book
Attention for Chapter 10: A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
20 Mendeley
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Chapter title
A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations
Chapter number 10
Book title
Multi-Agent-Based Simulation XIII
Published in
arXiv, June 2012
DOI 10.1007/978-3-642-38859-0_10
Book ISBNs
978-3-64-238858-3, 978-3-64-238859-0
Authors

Jean-Baptiste Soyez, Gildas Morvan, Daniel Dupont, Rochdi Merzouki

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Portugal 1 5%
France 1 5%
Canada 1 5%
Unknown 16 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 50%
Professor 3 15%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Student > Bachelor 1 5%
Other 2 10%
Readers by discipline Count As %
Computer Science 10 50%
Engineering 6 30%
Social Sciences 2 10%
Business, Management and Accounting 1 5%
Unknown 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 November 2013.
All research outputs
#10,966,420
of 12,364,412 outputs
Outputs from arXiv
#446,519
of 549,537 outputs
Outputs of similar age
#177,972
of 213,810 outputs
Outputs of similar age from arXiv
#10,828
of 15,283 outputs
Altmetric has tracked 12,364,412 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549,537 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 213,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15,283 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.