↓ Skip to main content

Influence of Strength Training on Sprint Running Performance

Overview of attention for article published in Sports Medicine, October 2012
Altmetric Badge

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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
38 X users
facebook
1 Facebook page

Citations

dimensions_citation
208 Dimensions

Readers on

mendeley
201 Mendeley
Title
Influence of Strength Training on Sprint Running Performance
Published in
Sports Medicine, October 2012
DOI 10.2165/00007256-199724030-00001
Pubmed ID
Authors

Christophe Delecluse

Abstract

Today, it is generally accepted that sprint performance, like endurance performance, can improve considerably with training. Strength training, especially, plays a key role in this process. Sprint performance will be viewed multidimensionally as an initial acceleration phase (0 to 10 m), a phase of maximum running speed (36 to 100 m) and a transition phase in between. Immediately following the start action, the powerful extensions of the hip, knee and ankle joints are the main accelerators of body mass. However, the hamstrings, the m. adductor magnus and the m. gluteus maximus are considered to make the most important contribution in producing the highest levels of speed. Different training methods are proposed to improve the power output of these muscles. Some of them aim for hypertrophy and others for specific adaptations of the nervous system. This includes general (hypertrophy and neuronal activation), velocity specific (speed-strength) and movement specific (sprint associated exercises) strength training. In developing training strategies, the coach has to keep in mind that strength, power and speed are inherently related to one another, because they are all the output of the same functional systems. As heavy resistance training results in a fibre type IIb into fibre type IIa conversion, the coach has to aim for an optimal balance between sprint specific and nonspecific training components. To achieve this they must take into consideration the specific strength training demands of each individual, based on performance capacity in each specific phase of the sprint.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 198 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 15%
Student > Master 27 13%
Student > Ph. D. Student 9 4%
Student > Doctoral Student 8 4%
Professor > Associate Professor 6 3%
Other 29 14%
Unknown 91 45%
Readers by discipline Count As %
Sports and Recreations 73 36%
Medicine and Dentistry 6 3%
Unspecified 5 2%
Nursing and Health Professions 5 2%
Agricultural and Biological Sciences 5 2%
Other 14 7%
Unknown 93 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 12 February 2024.
All research outputs
#1,313,888
of 25,374,647 outputs
Outputs from Sports Medicine
#1,083
of 2,875 outputs
Outputs of similar age
#8,091
of 191,594 outputs
Outputs of similar age from Sports Medicine
#148
of 831 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% 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 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 191,594 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 95% of its contemporaries.
We're also able to compare this research output to 831 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.