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Does stroke location predict walk speed response to gait rehabilitation?

Overview of attention for article published in Human Brain Mapping, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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30 X users
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2 Facebook pages

Citations

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54 Dimensions

Readers on

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267 Mendeley
Title
Does stroke location predict walk speed response to gait rehabilitation?
Published in
Human Brain Mapping, November 2015
DOI 10.1002/hbm.23059
Pubmed ID
Authors

P. Simon Jones, Valerie M. Pomeroy, Jasmine Wang, Gottfried Schlaug, S. Tulasi Marrapu, Sharon Geva, Philip J. Rowe, Elizabeth Chandler, Andrew Kerr, Jean‐Claude Baron, for the SWIFT‐Cast investigators

Abstract

Recovery of independent ambulation after stroke is a major goal. However, which rehabilitation regimen best benefits each individual is unknown and decisions are currently made on a subjective basis. Predictors of response to specific therapies would guide the type of therapy most appropriate for each patient. Although lesion topography is a strong predictor of upper limb response, walking involves more distributed functions. Earlier studies that assessed the cortico-spinal tract (CST) were negative, suggesting other structures may be important. The relationship between lesion topography and response of walking speed to standard rehabilitation was assessed in 50 adult-onset patients using both volumetric measurement of CST lesion load and voxel-based lesion-symptom mapping (VLSM) to assess non-CST structures. Two functional mobility scales, the functional ambulation category (FAC) and the modified rivermead mobility index (MRMI) were also administered. Performance measures were obtained both at entry into the study (3-42 days post-stroke) and at the end of a 6-week course of therapy. Baseline score, age, time since stroke onset and white matter hyperintensities score were included as nuisance covariates in regression models. CST damage independently predicted response to therapy for FAC and MRMI, but not for walk speed. However, using VLSM the latter was predicted by damage to the putamen, insula, external capsule and neighbouring white matter. Walk speed response to rehabilitation was affected by damage involving the putamen and neighbouring structures but not the CST, while the latter had modest but significant impact on everyday functions of general mobility and gait. Hum Brain Mapp, 2015. © 2015 Wiley Periodicals, Inc.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United Kingdom 1 <1%
Korea, Republic of 1 <1%
Unknown 263 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 36 13%
Student > Master 34 13%
Student > Ph. D. Student 32 12%
Researcher 23 9%
Student > Doctoral Student 13 5%
Other 35 13%
Unknown 94 35%
Readers by discipline Count As %
Nursing and Health Professions 44 16%
Medicine and Dentistry 32 12%
Neuroscience 27 10%
Engineering 14 5%
Psychology 11 4%
Other 27 10%
Unknown 112 42%
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 15 November 2022.
All research outputs
#1,872,538
of 24,820,264 outputs
Outputs from Human Brain Mapping
#444
of 4,353 outputs
Outputs of similar age
#31,145
of 397,761 outputs
Outputs of similar age from Human Brain Mapping
#10
of 93 outputs
Altmetric has tracked 24,820,264 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 4,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 89% 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 397,761 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 92% of its contemporaries.
We're also able to compare this research output to 93 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 90% of its contemporaries.