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Fusion of heart rate variability and salivary cortisol for stress response identification based on adverse childhood experience

Overview of attention for article published in Medical & Biological Engineering & Computing, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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11 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
139 Mendeley
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Title
Fusion of heart rate variability and salivary cortisol for stress response identification based on adverse childhood experience
Published in
Medical & Biological Engineering & Computing, February 2019
DOI 10.1007/s11517-019-01958-3
Pubmed ID
Authors

Noor Aimie-Salleh, M. B. Malarvili, Anna C. Whittaker

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 17%
Student > Bachelor 19 14%
Student > Master 13 9%
Student > Doctoral Student 12 9%
Researcher 9 6%
Other 15 11%
Unknown 48 35%
Readers by discipline Count As %
Psychology 22 16%
Nursing and Health Professions 13 9%
Engineering 9 6%
Medicine and Dentistry 8 6%
Social Sciences 8 6%
Other 25 18%
Unknown 54 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 February 2020.
All research outputs
#6,241,141
of 25,385,509 outputs
Outputs from Medical & Biological Engineering & Computing
#475
of 2,053 outputs
Outputs of similar age
#121,368
of 446,281 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 7 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 75th 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 well, scoring higher than 76% 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 446,281 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.