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Car Transfer and Wheelchair Loading Techniques in Independent Drivers with Paraplegia

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2015
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Title
Car Transfer and Wheelchair Loading Techniques in Independent Drivers with Paraplegia
Published in
Frontiers in Bioengineering and Biotechnology, September 2015
DOI 10.3389/fbioe.2015.00139
Pubmed ID
Authors

Lisa Lighthall Haubert, Sara J. Mulroy, Patricia E. Hatchett, Valerie J. Eberly, Somboon Maneekobkunwong, Joanne K. Gronley, Philip S. Requejo

Abstract

Car transfers and wheelchair (WC) loading are crucial for independent community participation in persons with complete paraplegia from spinal cord injury, but are complex, physically demanding, and known to provoke shoulder pain. This study aimed to describe techniques and factors influencing car transfer and WC loading for individuals with paraplegia driving their own vehicles and using their personal WCs. Sedans were the most common vehicle driven (59%). Just over half (52%) of drivers place their right leg only into the vehicle prior to transfer. Overall, the leading hand was most frequently placed on the driver's seat (66%) prior to transfer and the trailing hand was most often place on the WC seat (48%). Vehicle height influenced leading hand placement but not leg placement such that drivers of higher profile vehicles were more likely to place their hand on the driver's seat than those who drove sedans. Body lift time was negatively correlated with level of injury and age and positively correlated with vehicle height and shoulder abduction strength. Drivers who transferred with their leading hand on the steering wheel had significantly higher levels of shoulder pain than those who placed their hand on the driver's seat or overhead. The majority of participants used both hands (62%) to load their WC frame, and overall, most loaded their frame into the back (62%) vs. the front seat. Sedan drivers were more likely to load their frame into the front seat than drivers of higher profile vehicles (53 vs. 17%). Average time to load the WC frame (10.7 s) was 20% of the total WC loading time and was not related to shoulder strength, frame weight, or demographic characteristics. Those who loaded their WC frame into the back seat had significantly weaker right shoulder internal rotators. Understanding car transfers and WC loading in independent drivers is crucial to prevent shoulder pain and injury and preserve community participation.

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Mendeley readers

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The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 19%
Student > Master 9 14%
Student > Ph. D. Student 7 11%
Researcher 4 6%
Other 4 6%
Other 7 11%
Unknown 21 33%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Nursing and Health Professions 10 16%
Engineering 6 9%
Sports and Recreations 5 8%
Physics and Astronomy 1 2%
Other 6 9%
Unknown 22 34%
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 17 September 2015.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,396
of 6,557 outputs
Outputs of similar age
#196,004
of 272,396 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#44
of 66 outputs
Altmetric has tracked 22,828,180 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 6,557 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% 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 272,396 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 66 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.