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DDDAS-Based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs

Overview of attention for article published in Frontiers in Robotics and AI, April 2015
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Mentioned by

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2 X users

Citations

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11 Dimensions

Readers on

mendeley
12 Mendeley
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2 CiteULike
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Title
DDDAS-Based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs
Published in
Frontiers in Robotics and AI, April 2015
DOI 10.3389/frobt.2015.00008
Authors

Yifei Yuan, Zhenrui Wang, Mingyang Li, Young-Jun Son, Jian Liu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 2 17%
Student > Master 1 8%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 3 25%
Engineering 3 25%
Unknown 6 50%
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 08 June 2015.
All research outputs
#17,752,946
of 22,797,621 outputs
Outputs from Frontiers in Robotics and AI
#1,135
of 1,487 outputs
Outputs of similar age
#180,995
of 264,934 outputs
Outputs of similar age from Frontiers in Robotics and AI
#8
of 8 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 12th percentile – i.e., 12% 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 264,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.