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Body size as a determinant of the 1-h cycling record at sea level and altitude

Overview of attention for article published in European Journal of Applied Physiology, December 2004
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Title
Body size as a determinant of the 1-h cycling record at sea level and altitude
Published in
European Journal of Applied Physiology, December 2004
DOI 10.1007/s00421-004-1256-5
Pubmed ID
Authors

Daniel P. Heil

Abstract

This study was designed to validate models for predicting the two Union Cycliste Internationale (UCI) classifications for the 1-h cycling record at sea level and altitude. Specific attention was paid to the integration of model components that were sensitive to scaling differences in body mass (m(b)). The Modern Aero Position model predicted UCI Best Hour performances using predictions of total projected frontal area (A(P)) that included use of an aerodynamic bicycle and aerodynamic handlebars. The Traditional Racing Position model predicted UCI Hour Record performances using predictions of total A(P) that include use of a "Merckx-era" bicycle with drop-style handlebars. Prediction equations for A(P), as well as the coefficient of drag and metabolic power output , involved scaling relationships with m(b), while other model components were similar to previously published 1-h models. Both models were solved for the distance cycled in 1 h (D(HR)) using an iterative strategy. Chris Boardman's current records for the UCI Best Hour Performance (56.375 km) and the UCI Hour Record (49.202 km) were underpredicted by only 0.332 km (-0.6%) and 0.239 km (-0.5%). Both models, regardless of altitude, suggested that D(HR) should scale with m(b) to the +0.174 power (D(HR) alpha m(b) (+0.174)), which is lower than the +0.32 exponent recently suggested in the literature. Lastly, the same models also predicted that six-time Tour de France winner, Lance Armstrong, could exceed both of Boardman's current records at sea level by about 2.0 km.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Master 7 16%
Student > Ph. D. Student 5 11%
Lecturer 4 9%
Professor 3 7%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Sports and Recreations 21 48%
Agricultural and Biological Sciences 3 7%
Engineering 3 7%
Computer Science 2 5%
Psychology 1 2%
Other 2 5%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 January 2015.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from European Journal of Applied Physiology
#3,712
of 4,345 outputs
Outputs of similar age
#144,215
of 150,354 outputs
Outputs of similar age from European Journal of Applied Physiology
#14
of 17 outputs
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