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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
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
46 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
83 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 46 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 18%
Student > Ph. D. Student 12 14%
Student > Master 11 13%
Student > Bachelor 9 11%
Other 5 6%
Other 12 14%
Unknown 19 23%
Readers by discipline Count As %
Psychology 12 14%
Engineering 11 13%
Neuroscience 9 11%
Nursing and Health Professions 8 10%
Medicine and Dentistry 7 8%
Other 12 14%
Unknown 24 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 17 September 2020.
All research outputs
#307,501
of 17,838,103 outputs
Outputs from PLOS ONE
#5,036
of 167,111 outputs
Outputs of similar age
#11,158
of 400,662 outputs
Outputs of similar age from PLOS ONE
#27
of 172 outputs
Altmetric has tracked 17,838,103 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 167,111 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 400,662 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 172 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.