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Characterization of Indicators for Adaptive Human-Swarm Teaming

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 (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Characterization of Indicators for Adaptive Human-Swarm Teaming
Published in
Frontiers in Robotics and AI, February 2022
DOI 10.3389/frobt.2022.745958
Pubmed ID
Authors

Aya Hussein, Leo Ghignone, Tung Nguyen, Nima Salimi, Hung Nguyen, Min Wang, Hussein A. Abbass

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Unspecified 3 12%
Researcher 3 12%
Student > Bachelor 2 8%
Professor 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Engineering 9 36%
Unspecified 3 12%
Computer Science 3 12%
Psychology 1 4%
Unknown 9 36%
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 18 February 2022.
All research outputs
#6,954,635
of 25,155,561 outputs
Outputs from Frontiers in Robotics and AI
#433
of 1,736 outputs
Outputs of similar age
#133,864
of 435,864 outputs
Outputs of similar age from Frontiers in Robotics and AI
#28
of 117 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. 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 435,864 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 69% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.