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SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG

Overview of attention for article published in Frontiers in Neurorobotics, June 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
208 Dimensions

Readers on

mendeley
152 Mendeley
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Title
SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG
Published in
Frontiers in Neurorobotics, June 2019
DOI 10.3389/fnbot.2019.00037
Pubmed ID
Authors

Xiaofen Xing, Zhenqi Li, Tianyuan Xu, Lin Shu, Bin Hu, Xiangmin Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 152 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 14%
Student > Master 19 13%
Student > Bachelor 10 7%
Researcher 9 6%
Other 5 3%
Other 18 12%
Unknown 69 45%
Readers by discipline Count As %
Computer Science 36 24%
Engineering 27 18%
Neuroscience 5 3%
Unspecified 4 3%
Business, Management and Accounting 2 1%
Other 7 5%
Unknown 71 47%
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 24 June 2019.
All research outputs
#14,166,847
of 23,150,406 outputs
Outputs from Frontiers in Neurorobotics
#308
of 890 outputs
Outputs of similar age
#186,799
of 353,688 outputs
Outputs of similar age from Frontiers in Neurorobotics
#13
of 39 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 890 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 62% 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 353,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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 64% of its contemporaries.