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HRVEST: a novel data solution for using wearable smart technology to measure physiologic stress variables during a randomized clinical trial

Overview of attention for article published in Frontiers in Computer Science, February 2024
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1 X user

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1 Mendeley
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Title
HRVEST: a novel data solution for using wearable smart technology to measure physiologic stress variables during a randomized clinical trial
Published in
Frontiers in Computer Science, February 2024
DOI 10.3389/fcomp.2024.1343139
Authors

Jeffrey N. Gerwin, Gustavo de Oliveira Almeida, Michael W. Boyce, Melissa Joseph, Ambrose H. Wong, Winslow Burleson, Leigh V. Evans

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.
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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%
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 22 February 2024.
All research outputs
#23,813,133
of 26,505,350 outputs
Outputs from Frontiers in Computer Science
#566
of 590 outputs
Outputs of similar age
#299,697
of 358,826 outputs
Outputs of similar age from Frontiers in Computer Science
#36
of 41 outputs
Altmetric has tracked 26,505,350 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 590 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% 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 358,826 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.