↓ Skip to main content

Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition

Overview of attention for article published in Cognitive Computation, December 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
226 Dimensions

Readers on

mendeley
143 Mendeley
Title
Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition
Published in
Cognitive Computation, December 2017
DOI 10.1007/s12559-017-9533-x
Authors

Jinpeng Li, Zhaoxiang Zhang, Huiguang He

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 16%
Student > Ph. D. Student 16 11%
Student > Bachelor 10 7%
Student > Doctoral Student 9 6%
Researcher 6 4%
Other 19 13%
Unknown 60 42%
Readers by discipline Count As %
Computer Science 35 24%
Engineering 26 18%
Psychology 5 3%
Medicine and Dentistry 2 1%
Design 2 1%
Other 9 6%
Unknown 64 45%
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 04 April 2023.
All research outputs
#6,829,420
of 23,880,375 outputs
Outputs from Cognitive Computation
#54
of 425 outputs
Outputs of similar age
#132,751
of 446,402 outputs
Outputs of similar age from Cognitive Computation
#4
of 20 outputs
Altmetric has tracked 23,880,375 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 425 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 86% 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 446,402 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 69% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.