↓ Skip to main content

Training with brain-machine interfaces, visuo-tactile feedback and assisted locomotion improves sensorimotor, visceral, and psychological signs in chronic paraplegic patients

Overview of attention for article published in PLOS ONE, November 2018
Altmetric Badge

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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
twitter
44 X users
facebook
1 Facebook page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
140 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Training with brain-machine interfaces, visuo-tactile feedback and assisted locomotion improves sensorimotor, visceral, and psychological signs in chronic paraplegic patients
Published in
PLOS ONE, November 2018
DOI 10.1371/journal.pone.0206464
Pubmed ID
Authors

Solaiman Shokur, Ana R. C. Donati, Debora S. F. Campos, Claudia Gitti, Guillaume Bao, Dora Fischer, Sabrina Almeida, Vania A. S. Braga, Patricia Augusto, Chris Petty, Eduardo J. L. Alho, Mikhail Lebedev, Allen W. Song, Miguel A. L. Nicolelis

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 14%
Student > Ph. D. Student 17 12%
Student > Master 16 11%
Student > Bachelor 14 10%
Other 9 6%
Other 17 12%
Unknown 47 34%
Readers by discipline Count As %
Engineering 17 12%
Psychology 14 10%
Medicine and Dentistry 14 10%
Nursing and Health Professions 13 9%
Neuroscience 13 9%
Other 16 11%
Unknown 53 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 07 March 2024.
All research outputs
#424,942
of 25,440,205 outputs
Outputs from PLOS ONE
#5,992
of 221,613 outputs
Outputs of similar age
#9,344
of 446,687 outputs
Outputs of similar age from PLOS ONE
#104
of 3,153 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 221,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 97% 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 446,687 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 97% of its contemporaries.
We're also able to compare this research output to 3,153 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 96% of its contemporaries.