↓ Skip to main content

Relative Contributions of Strength, Anthropometric, and Body Composition Characteristics to Estimated Propulsive Force in Young Male Swimmers

Overview of attention for article published in Journal of Strength & Conditioning Research, June 2015
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 (80th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 X users
facebook
1 Facebook page

Readers on

mendeley
111 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Relative Contributions of Strength, Anthropometric, and Body Composition Characteristics to Estimated Propulsive Force in Young Male Swimmers
Published in
Journal of Strength & Conditioning Research, June 2015
DOI 10.1519/jsc.0000000000000942
Pubmed ID
Authors
Abstract

The purpose of this study was to determine the relative contributions of isokinetic forearm flexion (FLX) and extension (EXT) peak torque at 180°-1, height (HT), percent body fat (%BF) and fat-free mass (FFM) to the prediction of estimated propulsive force (EPF) and which of these variables should be a focus of training in young male swimmers. Thirty young male swimmers (mean age ± SD = 12.4 ± 2.7 yr) volunteered for this study. The subjects were members of local swimming clubs who competed in the front crawl. The swimmers were measured for FLX and EXT peak torque at 180°-1, HT, body mass (BM), arm muscle area (AMA), arm circumference (AC), triceps skinfold (SKF), percent body fat (%BF), and fat-free mass (FFM). Arm muscle area was used to calculate EPF. Zero-order correlations and step-wise multiple regression analyses were used to examine the relationships among variables and the relative contributions of FLX, EXT, HT, %BF, and FFM to the prediction of EPF. Forearm flexion peak torque at 180° -1, EXT, BM, HT, FFM, AMA, and EPF were significantly intercorrelated (r = 0.83 - 1.00). In addition, four variables contributed significantly to the prediction of EPF (standardized regression coefficients = FFM (1.00), FLX (0.92), EXT (-0.62), and HT (-0.35)). Percent body fat did not contribute to any of the step-wise models. These findings suggested that age-related increases in HT and FFM, as well as training for increases in flexion and extension strength may improve propulsive force and swimming performance in young male swimmers.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Brazil 1 <1%
Unknown 109 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 16 14%
Student > Bachelor 15 14%
Student > Ph. D. Student 10 9%
Professor 6 5%
Other 5 5%
Other 21 19%
Unknown 38 34%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 43 39%
Medicine and Dentistry 6 5%
Nursing and Health Professions 5 5%
Agricultural and Biological Sciences 3 3%
Computer Science 2 2%
Other 8 7%
Unknown 44 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 June 2015.
All research outputs
#6,093,186
of 34,361,833 outputs
Outputs from Journal of Strength & Conditioning Research
#3,172
of 7,363 outputs
Outputs of similar age
#59,194
of 307,960 outputs
Outputs of similar age from Journal of Strength & Conditioning Research
#72
of 110 outputs
Altmetric has tracked 34,361,833 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.3. This one has gotten more attention than average, scoring higher than 56% 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 307,960 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 80% of its contemporaries.
We're also able to compare this research output to 110 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.