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Languages, Methodologies, and Development Tools for Multi-Agent Systems

Overview of attention for book
Attention for Chapter 4: Augmenting Agent Platforms to Facilitate Conversation Reasoning
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
3 Mendeley
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Chapter title
Augmenting Agent Platforms to Facilitate Conversation Reasoning
Chapter number 4
Book title
Languages, Methodologies, and Development Tools for Multi-Agent Systems
Published in
arXiv, August 2010
DOI 10.1007/978-3-642-22723-3_4
Book ISBNs
978-3-64-222722-6, 978-3-64-222723-3
Authors

Dinh Doan Van Bien, David Lillis, Rem W. Collier, Lillis, David, Collier, Rem W.

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Lecturer 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%
Attention Score in Context

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 12 August 2015.
All research outputs
#20,286,650
of 22,821,814 outputs
Outputs from arXiv
#670,729
of 937,449 outputs
Outputs of similar age
#88,941
of 93,709 outputs
Outputs of similar age from arXiv
#545
of 669 outputs
Altmetric has tracked 22,821,814 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 937,449 research outputs from this source. They receive a mean Attention Score of 3.9. 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 93,709 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 669 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.