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Microstate Detection in Naturalistic Electroencephalography Data: A Systematic Comparison of Topographical Clustering Strategies on an Emotional Database

Overview of attention for article published in Frontiers in Neuroscience, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Microstate Detection in Naturalistic Electroencephalography Data: A Systematic Comparison of Topographical Clustering Strategies on an Emotional Database
Published in
Frontiers in Neuroscience, February 2022
DOI 10.3389/fnins.2022.812624
Pubmed ID
Authors

Wanrou Hu, Zhiguo Zhang, Li Zhang, Gan Huang, Linling Li, Zhen Liang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Researcher 3 14%
Student > Bachelor 2 9%
Student > Master 2 9%
Student > Doctoral Student 1 5%
Other 4 18%
Unknown 7 32%
Readers by discipline Count As %
Neuroscience 5 23%
Computer Science 4 18%
Engineering 3 14%
Agricultural and Biological Sciences 1 5%
Environmental Science 1 5%
Other 1 5%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 March 2022.
All research outputs
#8,699,352
of 25,930,295 outputs
Outputs from Frontiers in Neuroscience
#5,480
of 11,736 outputs
Outputs of similar age
#194,102
of 541,226 outputs
Outputs of similar age from Frontiers in Neuroscience
#150
of 387 outputs
Altmetric has tracked 25,930,295 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 11,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 52% 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 541,226 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 63% of its contemporaries.
We're also able to compare this research output to 387 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 60% of its contemporaries.