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Effects of an Uphill Marathon on Running Mechanics and Lower-Limb Muscle Fatigue.

Overview of attention for article published in International Journal of Sports Physiology and Performance, September 2015
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Article details
Title
Effects of an Uphill Marathon on Running Mechanics and Lower-Limb Muscle Fatigue.
Published in
International Journal of Sports Physiology and Performance, September 2015
DOI 10.1123/ijspp.2014-0602
Pubmed ID
Authors
Abstract

To investigate the effects of an uphill-marathon (43 km, 3063 m elevation gain) on running mechanics and neuromuscular fatigue in lower limb muscles. Maximal mechanical power of lower limbs (MMP), temporal tensiomyography (TMG) parameters and muscle belly displacement (Dm) were determined in the vastus lateralis muscle before and after the competition in eighteen runners (age: 42.8±9.9 yr; body mass: 70.1±7.3 kg; maximal oxygen uptake: 55.5±7.5 mL·kg-1·min-1). Contact (tc) and aerial (ta) times, step frequency (f) and running velocity (v) were measured at 3,14,30 km and after the finish line (POST). Peak vertical ground reaction force (Fmax), vertical displacement of the centre of mass (Δz), leg length change (ΔL), vertical (kvert) and leg (kleg) stiffness were calculated. MMP was inversely related with race time (r:-0.56,p:0.016), tc (r:-0.61,p:0.008), Δz (r:-0.57,p:0.012) and directly related with Fmax (r:0.59,p:0.010), ta (r:0.48,p:0.040), kvert (r:0.51,p:0.027). In the fastest sub-group (n:9) the following parameters were lower in POST (p<0.05) than at km 3: ta (-14.1±17.8%), Fmax (-6.2±6.4%), kvert (-17.5±17.2%), kleg (-11.4±10.9%). The slowest sub-group (n:9) showed changes (p<0.05) at km 30 and POST in Fmax (-5.5±4.9% and -5.3±4.1%), ta (-20.5±16.2% and -21.5±14.4%), tc (+5.5±7.5% and +3.2±5.2%), kvert (-14.0±12.8% and -11.8±10.0%), kleg (-8.9±11.5 and -11.9±12%). TMG temporal-parameters decreased in all runners (-27.35±18.0%,p<0.001), while Dm increased (+24.0±35.0%,p:0.005), showing lower muscle stiffness and higher muscle sensibility to the electrical stimulus. Greater MMP was related with smaller changes in running biomechanics induced by fatigue. Thus, lower limb power training could improve running performance in uphill-marathons.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 1 <1%
Unknown 148 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 15%
Student > Master 22 15%
Researcher 14 9%
Student > Bachelor 13 9%
Professor 9 6%
Other 23 15%
Unknown 45 30%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 63 42%
Medicine and Dentistry 13 9%
Nursing and Health Professions 8 5%
Agricultural and Biological Sciences 5 3%
Psychology 2 1%
Other 5 3%
Unknown 53 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 June 2020.
All research outputs
#11,166,096
of 34,364,397 outputs
Outputs from International Journal of Sports Physiology and Performance
#1,554
of 2,701 outputs
Outputs of similar age
#102,384
of 311,034 outputs
Outputs of similar age from International Journal of Sports Physiology and Performance
#18
of 34 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 41st percentile – i.e., 41% 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 311,034 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.