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Incremental Exercise Test Design and Analysis

Overview of attention for article published in Sports Medicine, January 2007
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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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

20 tweeters
1 Facebook page
1 Wikipedia page


157 Dimensions

Readers on

268 Mendeley
Incremental Exercise Test Design and Analysis
Published in
Sports Medicine, January 2007
DOI 10.2165/00007256-200737070-00002
Pubmed ID

David J Bentley, John Newell, David Bishop


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.

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 2%
United Kingdom 3 1%
South Africa 2 <1%
United States 2 <1%
Canada 2 <1%
Poland 1 <1%
Chile 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Other 1 <1%
Unknown 249 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 58 22%
Student > Bachelor 49 18%
Student > Ph. D. Student 39 15%
Researcher 23 9%
Student > Postgraduate 17 6%
Other 65 24%
Unknown 17 6%
Readers by discipline Count As %
Sports and Recreations 138 51%
Medicine and Dentistry 31 12%
Unspecified 23 9%
Agricultural and Biological Sciences 23 9%
Nursing and Health Professions 8 3%
Other 28 10%
Unknown 17 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 19 September 2016.
All research outputs
of 12,482,475 outputs
Outputs from Sports Medicine
of 2,119 outputs
Outputs of similar age
of 229,148 outputs
Outputs of similar age from Sports Medicine
of 23 outputs
Altmetric has tracked 12,482,475 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,119 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.8. This one has gotten more attention than average, scoring higher than 62% 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 229,148 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 90% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.