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Variability in Wheelchair Propulsion: A New Window into an Old Problem

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2015
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Title
Variability in Wheelchair Propulsion: A New Window into an Old Problem
Published in
Frontiers in Bioengineering and Biotechnology, July 2015
DOI 10.3389/fbioe.2015.00105
Pubmed ID
Authors

Jacob J. Sosnoff, Ian M. Rice, Elizabeth T. Hsiao-Wecksler, Iris M. K. Hsu, Chandrasekaran Jayaraman, Yaejin Moon

Abstract

Manual wheelchair users are at great risk for the development of upper extremity injury and pain. Any loss of upper limb function due to pain adversely impacts the independence and mobility of manual wheelchair users. There is growing theoretical and empirical evidence that fluctuations in movement (i.e., motor variability) are related to musculoskeletal pain. This perspectives paper discusses a local review on several investigations examining the association between variability in wheelchair propulsion and shoulder pain in manual wheelchair users. The experimental data reviewed highlights that the variability of wheelchair propulsion is impacted by shoulder pain in manual wheelchair users. We maintain that inclusion of these metrics in future research on wheelchair propulsion and upper limb pain may yield novel data. Several promising avenues for future research based on this collective work are discussed.

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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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Canada 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Student > Master 11 16%
Student > Bachelor 9 13%
Researcher 5 7%
Professor 3 4%
Other 11 16%
Unknown 17 24%
Readers by discipline Count As %
Engineering 17 24%
Medicine and Dentistry 13 19%
Nursing and Health Professions 6 9%
Sports and Recreations 3 4%
Neuroscience 2 3%
Other 7 10%
Unknown 22 31%
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 27 July 2015.
All research outputs
#18,420,033
of 22,818,766 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,394
of 6,538 outputs
Outputs of similar age
#188,955
of 262,972 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#32
of 48 outputs
Altmetric has tracked 22,818,766 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 6,538 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% 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 262,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.