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Analyzing surface EMG signals to determine relationship between jaw imbalance and arm strength loss

Overview of attention for article published in BioMedical Engineering OnLine, August 2012
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Citations

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63 Mendeley
Title
Analyzing surface EMG signals to determine relationship between jaw imbalance and arm strength loss
Published in
BioMedical Engineering OnLine, August 2012
DOI 10.1186/1475-925x-11-55
Pubmed ID
Authors

Khoa Truong Quang Dang, Hoa Le Minh, Hai Nguyen Thanh, Toi Vo Van

Abstract

This study investigated the relationship between dental occlusion and arm strength; in particular, the imbalance in the jaw can cause loss in arm strength phenomenon. One of the goals of this study was to record the maximum forces that the subjects can resist against the pull-down force on their hands while biting a spacer of adjustable height on the right or left side of the jaw. Then EMG measurement was used to determine the EMG-Force relationship of the jaw, neck and arms muscles. This gave us useful insights on the arms strength loss due to the biomechanical effects of the imbalance in the jaw mechanism.

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

Geographical breakdown

Country Count As %
Malaysia 1 2%
India 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Student > Master 9 14%
Student > Doctoral Student 7 11%
Student > Bachelor 7 11%
Lecturer 4 6%
Other 7 11%
Unknown 15 24%
Readers by discipline Count As %
Medicine and Dentistry 17 27%
Engineering 13 21%
Sports and Recreations 9 14%
Nursing and Health Professions 4 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 6%
Unknown 15 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 18 October 2013.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#578
of 867 outputs
Outputs of similar age
#141,409
of 186,156 outputs
Outputs of similar age from BioMedical Engineering OnLine
#13
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 186,156 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.