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Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review

Overview of attention for article published in Frontiers in Robotics and AI, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review
Published in
Frontiers in Robotics and AI, February 2022
DOI 10.3389/frobt.2021.771520
Pubmed ID
Authors

Hian Lee Kwa, Jabez Leong Kit, Roland Bouffanais

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Professor > Associate Professor 3 9%
Student > Master 2 6%
Lecturer 2 6%
Student > Bachelor 1 3%
Other 2 6%
Unknown 14 42%
Readers by discipline Count As %
Engineering 14 42%
Computer Science 5 15%
Agricultural and Biological Sciences 1 3%
Unknown 13 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 February 2022.
All research outputs
#7,212,534
of 23,033,713 outputs
Outputs from Frontiers in Robotics and AI
#485
of 1,512 outputs
Outputs of similar age
#160,844
of 503,921 outputs
Outputs of similar age from Frontiers in Robotics and AI
#35
of 109 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 503,921 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.