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Competitive Elite Golf

Overview of attention for article published in Sports Medicine, October 2012
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Title
Competitive Elite Golf
Published in
Sports Medicine, October 2012
DOI 10.2165/11315200-000000000-00000
Pubmed ID
Authors

John Hellström

Abstract

Elite golfers commonly use fitness and technical training to become more competitive. The aim of this paper was to review the literature regarding the relationships between elite golfers' playing results, technique and physique. The competitive outcome is a direct function of the score. The three golf statistical measures that show the strongest correlations to scoring average are greens in regulation (GIR), scrambling, and putts per GIR. However, more detailed game statistics are needed where the distances to the targets are known before and after the strokes. Players affect ball displacement by controlling clubhead velocity and clubface angle during club and ball impact. X-factor studies have produced ambiguous results, possibly caused by different definitions of upper torso, rotation and top of backswing. Higher clubhead speed is generally associated with larger spinal rotation and shoulder girdle protraction at the top of the backswing. It is also associated with higher ground reaction forces and torques, a bottom-up and sequential increase of body segment angular velocities, a rapid increase of spinal rotation and a late adduction of the wrists during the downswing. Players can increase the clubhead speed generated by a swinging motion by actively adding a force couple. Wrist, elbow and shoulder force couple strategies should be differentiated when investigating the technique. Physical parameters such as anthropometrics, strength and flexibility are associated with skill level and clubhead speed. Current studies have investigated the linear correlation between arm and shaft lengths and clubhead speed, but a quadratic relationship may be stronger due to changes in moment of inertia. Fitness training can increase and perhaps decrease the clubhead speed and striking distance, depending on training methods and the player's fitness and level of skill. Future studies may focus on individual training needs and the relationship between physique, execution and its relation to accuracy of impact and ball displacement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Austria 1 1%
New Zealand 1 1%
Japan 1 1%
United States 1 1%
Unknown 88 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 10 11%
Researcher 7 7%
Student > Postgraduate 7 7%
Lecturer 7 7%
Other 22 23%
Unknown 26 27%
Readers by discipline Count As %
Sports and Recreations 30 32%
Medicine and Dentistry 16 17%
Nursing and Health Professions 6 6%
Engineering 3 3%
Psychology 3 3%
Other 11 12%
Unknown 26 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 07 October 2014.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Sports Medicine
#2,611
of 2,875 outputs
Outputs of similar age
#133,671
of 202,127 outputs
Outputs of similar age from Sports Medicine
#822
of 979 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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 is in the 5th percentile – i.e., 5% 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 202,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 979 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.