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Emotion recognition system using short-term monitoring of physiological signals

Overview of attention for article published in Medical & Biological Engineering & Computing, May 2004
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

policy
1 policy source
patent
7 patents

Citations

dimensions_citation
690 Dimensions

Readers on

mendeley
764 Mendeley
citeulike
4 CiteULike
Title
Emotion recognition system using short-term monitoring of physiological signals
Published in
Medical & Biological Engineering & Computing, May 2004
DOI 10.1007/bf02344719
Pubmed ID
Authors

K. H. Kim, S. W. Bang, S. R. Kim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 764 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
United Kingdom 6 <1%
Spain 5 <1%
Canada 4 <1%
Italy 4 <1%
Germany 3 <1%
France 3 <1%
Switzerland 3 <1%
Brazil 2 <1%
Other 13 2%
Unknown 712 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 170 22%
Student > Master 169 22%
Researcher 96 13%
Student > Bachelor 71 9%
Student > Doctoral Student 31 4%
Other 108 14%
Unknown 119 16%
Readers by discipline Count As %
Computer Science 219 29%
Engineering 210 27%
Psychology 86 11%
Neuroscience 22 3%
Agricultural and Biological Sciences 18 2%
Other 69 9%
Unknown 140 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 January 2024.
All research outputs
#3,907,044
of 25,837,817 outputs
Outputs from Medical & Biological Engineering & Computing
#60
of 2,070 outputs
Outputs of similar age
#6,802
of 63,512 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 10 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,070 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 93% 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 63,512 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.