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Automated recognition of hypertension through overnight continuous HRV monitoring

Overview of attention for article published in Journal of Ambient Intelligence and Humanized Computing, April 2017
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Mentioned by

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1 X user

Citations

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30 Dimensions

Readers on

mendeley
46 Mendeley
Title
Automated recognition of hypertension through overnight continuous HRV monitoring
Published in
Journal of Ambient Intelligence and Humanized Computing, April 2017
DOI 10.1007/s12652-017-0471-y
Authors

Hongbo Ni, Sunyoung Cho, Jennifer Mankoff, Jun Yang, Anind k. Dey

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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Ph. D. Student 6 13%
Student > Master 5 11%
Student > Bachelor 4 9%
Professor 4 9%
Other 9 20%
Unknown 12 26%
Readers by discipline Count As %
Computer Science 10 22%
Engineering 6 13%
Medicine and Dentistry 3 7%
Neuroscience 3 7%
Sports and Recreations 2 4%
Other 8 17%
Unknown 14 30%
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 17 April 2017.
All research outputs
#18,541,268
of 22,963,381 outputs
Outputs from Journal of Ambient Intelligence and Humanized Computing
#197
of 272 outputs
Outputs of similar age
#235,726
of 309,848 outputs
Outputs of similar age from Journal of Ambient Intelligence and Humanized Computing
#2
of 2 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 272 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 12th percentile – i.e., 12% 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 309,848 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.