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Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms

Overview of attention for article published in Frontiers in Robotics and AI, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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7 X users

Readers on

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20 Mendeley
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Title
Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms
Published in
Frontiers in Robotics and AI, November 2019
DOI 10.3389/frobt.2019.00130
Pubmed ID
Authors

Andrea Roli, Antoine Ligot, Mauro Birattari

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 5 25%
Student > Master 3 15%
Professor 1 5%
Unknown 6 30%
Readers by discipline Count As %
Computer Science 5 25%
Engineering 4 20%
Mathematics 1 5%
Social Sciences 1 5%
Psychology 1 5%
Other 0 0%
Unknown 8 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 January 2022.
All research outputs
#6,092,459
of 22,880,230 outputs
Outputs from Frontiers in Robotics and AI
#381
of 1,502 outputs
Outputs of similar age
#131,349
of 456,985 outputs
Outputs of similar age from Frontiers in Robotics and AI
#13
of 51 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 has gotten more attention than average, scoring higher than 74% 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 456,985 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 71% of its contemporaries.
We're also able to compare this research output to 51 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 74% of its contemporaries.