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The Tongue Enables Computer and Wheelchair Control for People with Spinal Cord Injury

Overview of attention for article published in Science Translational Medicine, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
60 news outlets
blogs
2 blogs
twitter
22 X users
facebook
4 Facebook pages
reddit
2 Redditors

Readers on

mendeley
153 Mendeley
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Article details
Title
The Tongue Enables Computer and Wheelchair Control for People with Spinal Cord Injury
Published in
Science Translational Medicine, November 2013
DOI 10.1126/scitranslmed.3006296
Pubmed ID
Authors
Abstract

The Tongue Drive System (TDS) is a wireless and wearable assistive technology, designed to allow individuals with severe motor impairments such as tetraplegia to access their environment using voluntary tongue motion. Previous TDS trials used a magnetic tracer temporarily attached to the top surface of the tongue with tissue adhesive. We investigated TDS efficacy for controlling a computer and driving a powered wheelchair in two groups of able-bodied subjects and a group of volunteers with spinal cord injury (SCI) at C6 or above. All participants received a magnetic tongue barbell and used the TDS for five to six consecutive sessions. The performance of the group was compared for TDS versus keypad and TDS versus a sip-and-puff device (SnP) using accepted measures of speed and accuracy. All performance measures improved over the course of the trial. The gap between keypad and TDS performance narrowed for able-bodied subjects. Despite participants with SCI already having familiarity with the SnP, their performance measures were up to three times better with the TDS than with the SnP and continued to improve. TDS flexibility and the inherent characteristics of the human tongue enabled individuals with high-level motor impairments to access computers and drive wheelchairs at speeds that were faster than traditional assistive technologies but with comparable accuracy.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 1%
United Kingdom 2 1%
Finland 1 <1%
Switzerland 1 <1%
Unknown 147 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 15%
Student > Master 18 12%
Researcher 18 12%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 31 20%
Unknown 42 27%
Readers by discipline
Readers by discipline Count As %
Engineering 48 31%
Medicine and Dentistry 11 7%
Nursing and Health Professions 8 5%
Agricultural and Biological Sciences 8 5%
Computer Science 7 5%
Other 22 14%
Unknown 49 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 510. 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 14 May 2021.
All research outputs
#61,635
of 32,833,240 outputs
Outputs from Science Translational Medicine
#195
of 5,773 outputs
Outputs of similar age
#392
of 365,809 outputs
Outputs of similar age from Science Translational Medicine
#2
of 83 outputs
Altmetric has tracked 32,833,240 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,773 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 91.6. This one has done particularly well, scoring higher than 96% of its peers.
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 365,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.