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Graph neural network based on brain inspired forward-forward mechanism for motor imagery classification in brain-computer interfaces

Overview of attention for article published in Frontiers in Neuroscience, March 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
2 Mendeley
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Title
Graph neural network based on brain inspired forward-forward mechanism for motor imagery classification in brain-computer interfaces
Published in
Frontiers in Neuroscience, March 2024
DOI 10.3389/fnins.2024.1309594
Pubmed ID
Authors

Qiwei Xue, Yuntao Song, Huapeng Wu, Yong Cheng, Hongtao Pan

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Engineering 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 April 2024.
All research outputs
#16,848,023
of 25,746,891 outputs
Outputs from Frontiers in Neuroscience
#7,526
of 11,699 outputs
Outputs of similar age
#110,298
of 235,700 outputs
Outputs of similar age from Frontiers in Neuroscience
#71
of 153 outputs
Altmetric has tracked 25,746,891 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,699 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 35th percentile – i.e., 35% 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 235,700 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 52% of its contemporaries.
We're also able to compare this research output to 153 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 52% of its contemporaries.