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A Robot Motion Learning Method Using Broad Learning System Verified by Small-Scale Fish-Like Robot

Overview of attention for article published in IEEE Transactions on Cybernetics, August 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 Mendeley
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Title
A Robot Motion Learning Method Using Broad Learning System Verified by Small-Scale Fish-Like Robot
Published in
IEEE Transactions on Cybernetics, August 2023
DOI 10.1109/tcyb.2023.3269773
Pubmed ID
Authors

Sheng Xu, Tiantian Xu, Dong Li, Chenguang Yang, Chenyang Huang, Xinyu Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Unspecified 1 14%
Chemistry 1 14%
Engineering 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 May 2023.
All research outputs
#4,840,893
of 25,394,764 outputs
Outputs from IEEE Transactions on Cybernetics
#72
of 1,479 outputs
Outputs of similar age
#80,169
of 356,566 outputs
Outputs of similar age from IEEE Transactions on Cybernetics
#1
of 72 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,479 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 94% 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 356,566 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.