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Respiratory Frequency during Exercise: The Neglected Physiological Measure

Overview of attention for article published in Frontiers in Physiology, December 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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2 news outlets
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37 X users
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330 Mendeley
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Title
Respiratory Frequency during Exercise: The Neglected Physiological Measure
Published in
Frontiers in Physiology, December 2017
DOI 10.3389/fphys.2017.00922
Pubmed ID
Authors

Andrea Nicolò, Carlo Massaroni, Louis Passfield

Abstract

The use of wearable sensor technology for athlete training monitoring is growing exponentially, but some important measures and related wearable devices have received little attention so far. Respiratory frequency (fR), for example, is emerging as a valuable measurement for training monitoring. Despite the availability of unobtrusive wearable devices measuring fR with relatively good accuracy, fR is not commonly monitored during training. Yet fR is currently measured as a vital sign by multiparameter wearable devices in the military field, clinical settings, and occupational activities. When these devices have been used during exercise, fR was used for limited applications like the estimation of the ventilatory threshold. However, more information can be gained from fR. Unlike heart rate, [Formula: see text]O2, and blood lactate, fR is strongly associated with perceived exertion during a variety of exercise paradigms, and under several experimental interventions affecting performance like muscle fatigue, glycogen depletion, heat exposure and hypoxia. This suggests that fR is a strong marker of physical effort. Furthermore, unlike other physiological variables, fR responds rapidly to variations in workload during high-intensity interval training (HIIT), with potential important implications for many sporting activities. This Perspective article aims to (i) present scientific evidence supporting the relevance of fR for training monitoring; (ii) critically revise possible methodologies to measure fR and the accuracy of currently available respiratory wearables; (iii) provide preliminary indication on how to analyze fR data. This viewpoint is expected to advance the field of training monitoring and stimulate directions for future development of sports wearables.

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X Demographics

The data shown below were collected from the profiles of 37 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 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 330 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 16%
Student > Ph. D. Student 48 15%
Student > Bachelor 42 13%
Researcher 35 11%
Student > Doctoral Student 12 4%
Other 50 15%
Unknown 90 27%
Readers by discipline Count As %
Sports and Recreations 58 18%
Engineering 49 15%
Medicine and Dentistry 27 8%
Nursing and Health Professions 10 3%
Neuroscience 10 3%
Other 63 19%
Unknown 113 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 15 August 2023.
All research outputs
#1,108,678
of 25,353,525 outputs
Outputs from Frontiers in Physiology
#611
of 15,561 outputs
Outputs of similar age
#25,011
of 453,783 outputs
Outputs of similar age from Frontiers in Physiology
#24
of 321 outputs
Altmetric has tracked 25,353,525 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,561 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 96% 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 453,783 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 321 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.