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Resilience through Learning in Multi-Agent Cyber-Physical Systems

Overview of attention for article published in Frontiers in Robotics and AI, June 2016
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2 X users

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13 Mendeley
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Title
Resilience through Learning in Multi-Agent Cyber-Physical Systems
Published in
Frontiers in Robotics and AI, June 2016
DOI 10.3389/frobt.2016.00036
Authors

Karydis, Konstantinos, Kannappan, Prasanna, Tanner, Herbert G., Jardine, Adam, Heinz, Jeffrey

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Doctoral Student 2 15%
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Unknown 6 46%
Readers by discipline Count As %
Computer Science 3 23%
Engineering 3 23%
Unknown 7 54%
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 27 June 2016.
All research outputs
#15,379,002
of 22,879,161 outputs
Outputs from Frontiers in Robotics and AI
#1,041
of 1,502 outputs
Outputs of similar age
#223,005
of 352,119 outputs
Outputs of similar age from Frontiers in Robotics and AI
#16
of 20 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,502 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 23rd percentile – i.e., 23% 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 352,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.