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Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report

Overview of attention for article published in BMC Neurology, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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1 news outlet
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1 policy source
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7 X users
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3 Facebook pages

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226 Mendeley
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Title
Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report
Published in
BMC Neurology, January 2016
DOI 10.1186/s12883-016-0536-0
Pubmed ID
Authors

Patrizio Sale, Emanuele Francesco Russo, Michele Russo, Stefano Masiero, Francesco Piccione, Rocco Salvatore Calabrò, Serena Filoni

Abstract

Spinal cord injury (SCI) is a severe neurological disorder associated not only with ongoing medical complications but also with a significant loss of mobility and participation. The introduction of robotic technologies to recover lower limb function has been greatly employed in the rehabilitative practice. The aim of this preliminary report were to evaluate the efficacy, the feasibility and the changes in the mobility and in the de-adaptations of a new rehabilitative protocol for EKSO™ a robotic exoskeleton device in subjects with SCI disease with an impairment of lower limbs assessed by gait analysis and clinical outcomes. This is a pilot single case experimental A-B (pre-post) design study. Three cognitively intact voluntary participants with SCI and gait disorders were admitted. All subjects were submitted to a training program of robot walking sessions for 45 min daily over 20 sessions. The spatiotemporal parameters at the beginning (T0) and at the end of treatment (T1) were recorded. Other clinical assessments (6 min walking test and Timed Up and Go test) were acquired at T0 and T1. Robot training were feasible and acceptable and all participants completed the training sessions. All subjects showed improvements in gait spatiotemporal indexes (Mean velocity, Cadence, Step length and Step width) and in 6 min Walking Test (T0 versus T1). Robot training is a feasible form of rehabilitation for people with SCI. Further investigation regarding long term effectiveness of robot training in time is necessary. ClinicalTrials.gov NCT02065830 .

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The data shown below were collected from the profiles of 7 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 226 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 32 14%
Student > Ph. D. Student 27 12%
Researcher 24 11%
Student > Master 22 10%
Student > Doctoral Student 17 8%
Other 32 14%
Unknown 72 32%
Readers by discipline Count As %
Engineering 42 19%
Medicine and Dentistry 33 15%
Nursing and Health Professions 31 14%
Neuroscience 15 7%
Sports and Recreations 6 3%
Other 20 9%
Unknown 79 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 30 July 2023.
All research outputs
#1,821,915
of 24,167,226 outputs
Outputs from BMC Neurology
#151
of 2,571 outputs
Outputs of similar age
#32,906
of 405,076 outputs
Outputs of similar age from BMC Neurology
#1
of 38 outputs
Altmetric has tracked 24,167,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,571 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 94% 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 405,076 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 91% of its contemporaries.
We're also able to compare this research output to 38 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 99% of its contemporaries.