↓ Skip to main content

Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network

Overview of attention for article published in Frontiers in Psychiatry, March 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
27 Dimensions

Readers on

mendeley
39 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
Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network
Published in
Frontiers in Psychiatry, March 2022
DOI 10.3389/fpsyt.2021.837149
Pubmed ID
Authors

Hongli Chang, Yuan Zong, Wenming Zheng, Chuangao Tang, Jie Zhu, Xuejun Li

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Other 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Lecturer 2 5%
Other 4 10%
Unknown 19 49%
Readers by discipline Count As %
Engineering 5 13%
Computer Science 4 10%
Neuroscience 3 8%
Physics and Astronomy 2 5%
Psychology 2 5%
Other 2 5%
Unknown 21 54%
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 15 March 2022.
All research outputs
#18,171,970
of 23,342,232 outputs
Outputs from Frontiers in Psychiatry
#6,389
of 10,456 outputs
Outputs of similar age
#301,206
of 443,131 outputs
Outputs of similar age from Frontiers in Psychiatry
#407
of 787 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 31st percentile – i.e., 31% 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 443,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 787 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.