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Development of a cost effective three-dimensional posture analysis tool: validity and reliability

Overview of attention for article published in BMC Musculoskeletal Disorders, December 2013
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2 X users
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91 Mendeley
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Title
Development of a cost effective three-dimensional posture analysis tool: validity and reliability
Published in
BMC Musculoskeletal Disorders, December 2013
DOI 10.1186/1471-2474-14-335
Pubmed ID
Authors

Yolandi Brink, Quinette Louw, Karen Grimmer, Kristiaan Schreve, Gareth van der Westhuizen, Esmè Jordaan

Abstract

The lack of clear understanding of the association between sitting posture and adolescent musculoskeletal pain, might reflect invalid and/or unreliable posture measurement instruments. The psychometric properties of any new measurement instrument should be demonstrated prior to use for research or clinical purposes. This paper describes psychometric testing of a new three-dimensional (3D), portable, non-invasive posture analysis tool (3D-PAT), from sequential studies using a mannequin and high school students.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Unknown 89 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Student > Master 11 12%
Student > Bachelor 10 11%
Lecturer > Senior Lecturer 7 8%
Researcher 7 8%
Other 23 25%
Unknown 19 21%
Readers by discipline Count As %
Medicine and Dentistry 23 25%
Nursing and Health Professions 15 16%
Engineering 13 14%
Computer Science 5 5%
Psychology 4 4%
Other 9 10%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 December 2013.
All research outputs
#13,902,939
of 22,733,113 outputs
Outputs from BMC Musculoskeletal Disorders
#2,021
of 4,031 outputs
Outputs of similar age
#173,267
of 307,131 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#41
of 91 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,031 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 47th percentile – i.e., 47% 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 307,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.