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Drowsiness detection using heart rate variability

Overview of attention for article published in Medical & Biological Engineering & Computing, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 2,053)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
208 Dimensions

Readers on

mendeley
345 Mendeley
Title
Drowsiness detection using heart rate variability
Published in
Medical & Biological Engineering & Computing, January 2016
DOI 10.1007/s11517-015-1448-7
Pubmed ID
Authors

José Vicente, Pablo Laguna, Ariadna Bartra, Raquel Bailón

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 2 <1%
Germany 2 <1%
United States 1 <1%
Unknown 340 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 58 17%
Student > Ph. D. Student 52 15%
Researcher 46 13%
Student > Bachelor 41 12%
Student > Doctoral Student 13 4%
Other 51 15%
Unknown 84 24%
Readers by discipline Count As %
Engineering 110 32%
Computer Science 37 11%
Psychology 21 6%
Neuroscience 15 4%
Medicine and Dentistry 13 4%
Other 50 14%
Unknown 99 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 June 2023.
All research outputs
#3,415,054
of 25,373,627 outputs
Outputs from Medical & Biological Engineering & Computing
#44
of 2,053 outputs
Outputs of similar age
#55,834
of 400,135 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#3
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 400,135 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 85% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.