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The physiological basis and measurement of heart rate variability in humans

Overview of attention for article published in Journal of Physiological Anthropology, September 2016
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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 (66th percentile)

Mentioned by

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19 X users

Citations

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196 Dimensions

Readers on

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518 Mendeley
Title
The physiological basis and measurement of heart rate variability in humans
Published in
Journal of Physiological Anthropology, September 2016
DOI 10.1186/s40101-016-0113-7
Pubmed ID
Authors

Adina E. Draghici, J. Andrew Taylor

Abstract

Cardiovascular variabilities were recognized over 250 years ago, but only in the past 20 years has their apparent utility come to be appreciated. Technological advancement has allowed precise measurement and quantification of short-term cardiovascular fluctuations; however, our understanding of the integrated mechanisms which underlie these oscillations is inadequate for their widespread application. Both autonomic branches, the parasympathetic and sympathetic nervous system, are key determinants of the magnitude of these spontaneous cardiovascular fluctuations. Heart rate variability can be an indicator of an individual cardiovascular condition. In this review, we will discuss the two primary rhythmic oscillations that underlie the complexity of the heart rate waveform. The first oscillation occurs over several cardiac cycles, is respiratory related, and termed respiratory sinus arrhythmia. The second oscillation occurs at an approximate 10 s cycle. Due to the closed-loop nature of the control system of cardiovascular oscillations, it is difficult to define specific relations among cardiovascular variables. In this review, we will present the feedforward and feedback mechanism that underlie both oscillations and their implication as quantitative measures of autonomic circulatory control. We will also review the various methodologies to assess them.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 518 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 1 <1%
Unknown 515 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 80 15%
Student > Master 76 15%
Student > Ph. D. Student 67 13%
Researcher 41 8%
Other 27 5%
Other 89 17%
Unknown 138 27%
Readers by discipline Count As %
Medicine and Dentistry 111 21%
Sports and Recreations 45 9%
Engineering 40 8%
Psychology 39 8%
Neuroscience 35 7%
Other 93 18%
Unknown 155 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 December 2023.
All research outputs
#2,728,903
of 25,530,891 outputs
Outputs from Journal of Physiological Anthropology
#76
of 452 outputs
Outputs of similar age
#44,958
of 330,793 outputs
Outputs of similar age from Journal of Physiological Anthropology
#3
of 6 outputs
Altmetric has tracked 25,530,891 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has done well, scoring higher than 83% 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 330,793 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.