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An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance

Overview of attention for article published in Frontiers in Computational Neuroscience, September 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
12 Mendeley
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Title
An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance
Published in
Frontiers in Computational Neuroscience, September 2021
DOI 10.3389/fncom.2021.726641
Pubmed ID
Authors

Sou Nobukawa, Nobuhiko Wagatsuma, Haruhiko Nishimura, Hirotaka Doho, Tetsuya Takahashi

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Bachelor 1 8%
Other 1 8%
Student > Master 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Psychology 4 33%
Social Sciences 1 8%
Engineering 1 8%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 23 April 2024.
All research outputs
#2,926,416
of 26,503,921 outputs
Outputs from Frontiers in Computational Neuroscience
#106
of 1,498 outputs
Outputs of similar age
#64,335
of 439,226 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 25 outputs
Altmetric has tracked 26,503,921 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 92% 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 439,226 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 85% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.