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Iterative transfer learning for automatic collective motion tuning on multiple robot platforms

Overview of attention for article published in Frontiers in Neurorobotics, March 2023
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1 X user

Citations

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1 Dimensions

Readers on

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10 Mendeley
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Title
Iterative transfer learning for automatic collective motion tuning on multiple robot platforms
Published in
Frontiers in Neurorobotics, March 2023
DOI 10.3389/fnbot.2023.1113991
Pubmed ID
Authors

Shadi Abpeikar, Kathryn Kasmarik, Matt Garratt

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Researcher 1 10%
Lecturer 1 10%
Unknown 6 60%
Readers by discipline Count As %
Engineering 2 20%
Computer Science 1 10%
Business, Management and Accounting 1 10%
Unknown 6 60%
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 29 March 2023.
All research outputs
#20,875,908
of 23,495,502 outputs
Outputs from Frontiers in Neurorobotics
#732
of 918 outputs
Outputs of similar age
#239,067
of 303,857 outputs
Outputs of similar age from Frontiers in Neurorobotics
#15
of 34 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 918 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 303,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.