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Pacing in a self-paced world record attempt in 24-h road cycling

Overview of attention for article published in SpringerPlus, October 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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24 X users
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3 Facebook pages
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1 Google+ user
video
1 YouTube creator

Citations

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9 Dimensions

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56 Mendeley
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Title
Pacing in a self-paced world record attempt in 24-h road cycling
Published in
SpringerPlus, October 2015
DOI 10.1186/s40064-015-1445-1
Pubmed ID
Authors

Beat Knechtle, Nicola Luigi Bragazzi, Thomas Rosemann, Christoph A. Rüst

Abstract

Pacing strategy plays a major role in sport performance. However, there is a dearth of knowledge concerning pacing during ultra-endurance sport events. The present case study investigated the pacing of an ultra-cyclist in a self-paced attempt to break the world record in 24-h road cycling and, with all the caveats and the limitations affecting a case report, could be useful in generating hypotheses and further studies about pacing dynamics during prolonged sport performances. A well experienced ultra-cyclist completed laps of 11.731 km during 24 h and the support crew recorded for each lap time and power output in Watt. The trend in cycling speed and power output across laps was investigated using regression analyses. A mixed-effects regression model including lap, ambient air temperature, air pressure, air humidity and wind speed as fixed variables was used to investigate a relationship of environmental factors with cycling speed. The athlete achieved 896.173 km within the 24 h. He set a new world record by breaking the old record (Jure Robic, 2004, 834.77 km) by 61.403 km. He cycled at an average speed of 37.34 km/h with an average power output of 250.2 W. The decrease in cycling speed and power output across laps could be modelled linearly. Temperature and wind speed were related to cycling speed during the whole event. There was a significant interaction air temperature × relative humidity for the whole event. The athlete adopted a positive pacing (i.e. speed gradually declined throughout the event) and environmental factors (i.e. temperature and wind speed) influenced cycling speed during the event.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 2 4%
Unknown 52 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Bachelor 8 14%
Researcher 4 7%
Professor 4 7%
Student > Postgraduate 4 7%
Other 14 25%
Unknown 12 21%
Readers by discipline Count As %
Sports and Recreations 26 46%
Medicine and Dentistry 3 5%
Engineering 3 5%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 2 4%
Other 5 9%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 30 March 2022.
All research outputs
#2,194,729
of 25,844,183 outputs
Outputs from SpringerPlus
#116
of 1,876 outputs
Outputs of similar age
#30,462
of 296,472 outputs
Outputs of similar age from SpringerPlus
#13
of 132 outputs
Altmetric has tracked 25,844,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,876 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 93% 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 296,472 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 89% of its contemporaries.
We're also able to compare this research output to 132 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 90% of its contemporaries.