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Incremental Exercise Test Design and Analysis

Overview of attention for article published in Sports Medicine, December 2012
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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18 X users
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1 Facebook page
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3 Wikipedia pages

Citations

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265 Dimensions

Readers on

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483 Mendeley
Title
Incremental Exercise Test Design and Analysis
Published in
Sports Medicine, December 2012
DOI 10.2165/00007256-200737070-00002
Pubmed ID
Authors

David J. Bentley, John Newell, David Bishop

Abstract

Physiological variables, such as maximum work rate or maximal oxygen uptake (VO2max), together with other submaximal metabolic inflection points (e.g. the lactate threshold [LT], the onset of blood lactate accumulation and the pulmonary ventilation threshold [VT]), are regularly quantified by sports scientists during an incremental exercise test to exhaustion. These variables have been shown to correlate with endurance performance, have been used to prescribe exercise training loads and are useful to monitor adaptation to training. However, an incremental exercise test can be modified in terms of starting and subsequent work rates, increments and duration of each stage. At the same time, the analysis of the blood lactate/ventilatory response to incremental exercise may vary due to the medium of blood analysed and the treatment (or mathematical modelling) of data following the test to model the metabolic inflection points. Modification of the stage duration during an incremental exercise test may influence the submaximal and maximal physiological variables. In particular, the peak power output is reduced in incremental exercise tests that have stages of longer duration. Furthermore, the VT or LT may also occur at higher absolute exercise work rate in incremental tests comprising shorter stages. These effects may influence the relationship of the variables to endurance performance or potentially influence the sensitivity of these results to endurance training. A difference in maximum work rate with modification of incremental exercise test design may change the validity of using these results for predicting performance, and prescribing or monitoring training. Sports scientists and coaches should consider these factors when conducting incremental exercise testing for the purposes of performance diagnostics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 483 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 1%
United Kingdom 3 <1%
South Africa 2 <1%
United States 2 <1%
Canada 2 <1%
Sweden 1 <1%
Chile 1 <1%
Portugal 1 <1%
Singapore 1 <1%
Other 1 <1%
Unknown 464 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 94 19%
Student > Master 88 18%
Student > Ph. D. Student 62 13%
Researcher 32 7%
Student > Postgraduate 25 5%
Other 76 16%
Unknown 106 22%
Readers by discipline Count As %
Sports and Recreations 219 45%
Medicine and Dentistry 50 10%
Agricultural and Biological Sciences 24 5%
Nursing and Health Professions 14 3%
Biochemistry, Genetics and Molecular Biology 10 2%
Other 45 9%
Unknown 121 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 16 June 2020.
All research outputs
#2,549,383
of 25,374,917 outputs
Outputs from Sports Medicine
#1,559
of 2,875 outputs
Outputs of similar age
#24,217
of 289,102 outputs
Outputs of similar age from Sports Medicine
#114
of 324 outputs
Altmetric has tracked 25,374,917 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 2,875 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.8. This one is in the 45th percentile – i.e., 45% 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 289,102 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 91% of its contemporaries.
We're also able to compare this research output to 324 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.