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Enhancing the accuracy of electroencephalogram-based emotion recognition through Long Short-Term Memory recurrent deep neural networks

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

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Enhancing the accuracy of electroencephalogram-based emotion recognition through Long Short-Term Memory recurrent deep neural networks
Published in
Frontiers in Human Neuroscience, October 2023
DOI 10.3389/fnhum.2023.1174104
Pubmed ID
Authors

Mohammad Reza Yousefi, Amin Dehghani, Hamid Taghaavifar

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.
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 20%
Lecturer 2 10%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 10 50%
Readers by discipline Count As %
Engineering 4 20%
Unspecified 3 15%
Environmental Science 1 5%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 10 50%
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 31 October 2023.
All research outputs
#15,657,543
of 24,907,378 outputs
Outputs from Frontiers in Human Neuroscience
#4,703
of 7,581 outputs
Outputs of similar age
#150,994
of 331,635 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#29
of 100 outputs
Altmetric has tracked 24,907,378 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,581 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 36th percentile – i.e., 36% 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 331,635 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 54% of its contemporaries.
We're also able to compare this research output to 100 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 68% of its contemporaries.