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Automation of Workplace Lifting Hazard Assessment for Musculoskeletal Injury Prevention

Overview of attention for article published in Annals of Occupational and Environmental Medicine, June 2014
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Citations

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26 Dimensions

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112 Mendeley
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Title
Automation of Workplace Lifting Hazard Assessment for Musculoskeletal Injury Prevention
Published in
Annals of Occupational and Environmental Medicine, June 2014
DOI 10.1186/2052-4374-26-15
Pubmed ID
Authors

June T Spector, Max Lieblich, Stephen Bao, Kevin McQuade, Margaret Hughes

Abstract

Existing methods for practically evaluating musculoskeletal exposures such as posture and repetition in workplace settings have limitations. We aimed to automate the estimation of parameters in the revised United States National Institute for Occupational Safety and Health (NIOSH) lifting equation, a standard manual observational tool used to evaluate back injury risk related to lifting in workplace settings, using depth camera (Microsoft Kinect) and skeleton algorithm technology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Indonesia 1 <1%
Mexico 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 17%
Student > Ph. D. Student 17 15%
Researcher 12 11%
Student > Bachelor 9 8%
Professor 6 5%
Other 23 21%
Unknown 26 23%
Readers by discipline Count As %
Engineering 28 25%
Medicine and Dentistry 13 12%
Nursing and Health Professions 12 11%
Computer Science 7 6%
Sports and Recreations 5 4%
Other 14 13%
Unknown 33 29%
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 21 July 2014.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Annals of Occupational and Environmental Medicine
#159
of 197 outputs
Outputs of similar age
#209,157
of 243,029 outputs
Outputs of similar age from Annals of Occupational and Environmental Medicine
#5
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 197 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% 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 243,029 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.