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A Magnetic Resonance Compatible Soft Wearable Robotic Glove for Hand Rehabilitation and Brain Imaging

Overview of attention for article published in IEEE Transactions on Neural Systems and Rehabilitation Engineering, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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4 X users
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1 patent

Citations

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72 Dimensions

Readers on

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183 Mendeley
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Title
A Magnetic Resonance Compatible Soft Wearable Robotic Glove for Hand Rehabilitation and Brain Imaging
Published in
IEEE Transactions on Neural Systems and Rehabilitation Engineering, June 2017
DOI 10.1109/tnsre.2016.2602941
Pubmed ID
Authors

Hong Kai Yap, Nazir Kamaldin, Jeong Hoon Lim, Fatima A. Nasrallah, James Cho Hong Goh, Chen-Hua Yeow

Abstract

In this paper, we present the design, fabrication and evaluation of a soft wearable robotic glove, which can be used with functional Magnetic Resonance imaging (fMRI) during the hand rehabilitation and task specific training. The soft wearable robotic glove, called MR-Glove, consists of two major components: a) a set of soft pneumatic actuators and b) a glove. The soft pneumatic actuators, which are made of silicone elastomers, generate bending motion and actuate finger joints upon pressurization. The device is MR-compatible as it contains no ferromagnetic materials and operates pneumatically. Our results show that the device did not cause artifacts to fMRI images during hand rehabilitation and task-specific exercises. This study demonstrated the possibility of using fMRI and MR-compatible soft wearable robotic device to study brain activities and motor performances during hand rehabilitation, and to unravel the functional effects of rehabilitation robotics on brain stimulation.

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The data shown below were collected from the profiles of 4 X users 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 183 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 20%
Student > Master 32 17%
Researcher 17 9%
Student > Bachelor 16 9%
Student > Doctoral Student 13 7%
Other 24 13%
Unknown 44 24%
Readers by discipline Count As %
Engineering 87 48%
Nursing and Health Professions 9 5%
Medicine and Dentistry 7 4%
Computer Science 6 3%
Neuroscience 5 3%
Other 18 10%
Unknown 51 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 February 2021.
All research outputs
#5,556,291
of 22,982,639 outputs
Outputs from IEEE Transactions on Neural Systems and Rehabilitation Engineering
#250
of 1,168 outputs
Outputs of similar age
#88,083
of 316,532 outputs
Outputs of similar age from IEEE Transactions on Neural Systems and Rehabilitation Engineering
#6
of 30 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 316,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.