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A Multi-agent Architecture Based on the BDI Model for Data Fusion in Visual Sensor Networks

Overview of attention for article published in Journal of Intelligent & Robotic Systems, July 2010
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1 X user
googleplus
1 Google+ user

Citations

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13 Dimensions

Readers on

mendeley
27 Mendeley
citeulike
3 CiteULike
Title
A Multi-agent Architecture Based on the BDI Model for Data Fusion in Visual Sensor Networks
Published in
Journal of Intelligent & Robotic Systems, July 2010
DOI 10.1007/s10846-010-9448-1
Authors

Federico Castanedo, Jesús García, Miguel A. Patricio, José M. Molina

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

Geographical breakdown

Country Count As %
Spain 2 7%
United Kingdom 1 4%
Germany 1 4%
Romania 1 4%
Unknown 22 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 37%
Researcher 3 11%
Professor > Associate Professor 3 11%
Student > Master 3 11%
Professor 2 7%
Other 5 19%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 15 56%
Engineering 4 15%
Social Sciences 2 7%
Unspecified 1 4%
Arts and Humanities 1 4%
Other 0 0%
Unknown 4 15%
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 24 March 2014.
All research outputs
#14,184,606
of 23,867,274 outputs
Outputs from Journal of Intelligent & Robotic Systems
#261
of 375 outputs
Outputs of similar age
#75,557
of 97,125 outputs
Outputs of similar age from Journal of Intelligent & Robotic Systems
#5
of 5 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 375 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 29th percentile – i.e., 29% 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 97,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.