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Fusing the spatial structure of electroencephalogram channels can increase the individualization of the functional connectivity network

Overview of attention for article published in Frontiers in Computational Neuroscience, October 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
3 Mendeley
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Title
Fusing the spatial structure of electroencephalogram channels can increase the individualization of the functional connectivity network
Published in
Frontiers in Computational Neuroscience, October 2023
DOI 10.3389/fncom.2023.1263710
Pubmed ID
Authors

Ming Li, Jun Yang, Wenli Tian, Xiangyu Ju

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Bachelor 1 33%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Neuroscience 1 33%
Engineering 1 33%
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 21 November 2023.
All research outputs
#15,379,405
of 24,843,842 outputs
Outputs from Frontiers in Computational Neuroscience
#665
of 1,430 outputs
Outputs of similar age
#101,528
of 234,555 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 10 outputs
Altmetric has tracked 24,843,842 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,430 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 49th percentile – i.e., 49% 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 234,555 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 55% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.