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Upper torso and pelvis linear velocity during the downswing of elite golfers

Overview of attention for article published in BioMedical Engineering OnLine, February 2013
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Title
Upper torso and pelvis linear velocity during the downswing of elite golfers
Published in
BioMedical Engineering OnLine, February 2013
DOI 10.1186/1475-925x-12-13
Pubmed ID
Authors

Seung-Hui Beak, Ahnryul Choi, Seung-Wook Choi, Seung Eel Oh, Joung Hwan Mun, Heegoo Yang, Taeyong Sim, Hae-Ryong Song

Abstract

During a golf swing, analysis of the movement in upper torso and pelvis is a key step to determine a motion control strategy for accurate and consistent shots. However, a majority of previous studies that have evaluated this movement limited their analysis only to the rotational movement of segments, and translational motions were not examined. Therefore, in this study, correlations between translational motions in the 3 axes, which occur between the upper torso and pelvis, were also examined.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
United States 1 2%
Austria 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Student > Master 9 16%
Researcher 9 16%
Lecturer 5 9%
Student > Bachelor 4 7%
Other 7 12%
Unknown 13 22%
Readers by discipline Count As %
Sports and Recreations 21 36%
Engineering 10 17%
Medicine and Dentistry 4 7%
Physics and Astronomy 2 3%
Immunology and Microbiology 1 2%
Other 6 10%
Unknown 14 24%
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 12 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from BioMedical Engineering OnLine
#564
of 821 outputs
Outputs of similar age
#222,745
of 287,600 outputs
Outputs of similar age from BioMedical Engineering OnLine
#24
of 34 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 287,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.