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Real-time low latency estimation of brain rhythms with deep neural networks

Overview of attention for article published in Journal of Neural Engineering, September 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
peer_reviews
1 peer review site

Readers on

mendeley
7 Mendeley
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Title
Real-time low latency estimation of brain rhythms with deep neural networks
Published in
Journal of Neural Engineering, September 2023
DOI 10.1088/1741-2552/acf7f3
Pubmed ID
Authors

Ilia Semenkov, Nikita Fedosov, Ilya Makarov, Alexei Ossadtchi

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%
Unknown 4 57%
Readers by discipline Count As %
Neuroscience 2 29%
Unspecified 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 12 October 2023.
All research outputs
#1,008,906
of 24,609,626 outputs
Outputs from Journal of Neural Engineering
#66
of 1,700 outputs
Outputs of similar age
#10,997
of 238,901 outputs
Outputs of similar age from Journal of Neural Engineering
#3
of 25 outputs
Altmetric has tracked 24,609,626 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,700 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 96% 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 238,901 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% 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 particularly well, scoring higher than 92% of its contemporaries.