↓ Skip to main content

Nuclear Norm Regularized Deep Neural Network for EEG-Based Emotion Recognition

Overview of attention for article published in Frontiers in Psychology, June 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nuclear Norm Regularized Deep Neural Network for EEG-Based Emotion Recognition
Published in
Frontiers in Psychology, June 2022
DOI 10.3389/fpsyg.2022.924793
Pubmed ID
Authors

Shuang Liang, Mingbo Yin, Yecheng Huang, Xiubin Dai, Qiong Wang

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Unspecified 1 7%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 8 57%
Readers by discipline Count As %
Engineering 2 14%
Business, Management and Accounting 1 7%
Unspecified 1 7%
Psychology 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 8 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 July 2022.
All research outputs
#18,821,874
of 23,989,683 outputs
Outputs from Frontiers in Psychology
#22,116
of 32,208 outputs
Outputs of similar age
#297,079
of 426,629 outputs
Outputs of similar age from Frontiers in Psychology
#1,241
of 1,997 outputs
Altmetric has tracked 23,989,683 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,208 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 25th percentile – i.e., 25% 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 426,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,997 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.