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An exploration of impaired walking dynamics and fatigue in Multiple Sclerosis

Overview of attention for article published in BMC Neurology, December 2012
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Title
An exploration of impaired walking dynamics and fatigue in Multiple Sclerosis
Published in
BMC Neurology, December 2012
DOI 10.1186/1471-2377-12-161
Pubmed ID
Authors

Janina M Burschka, Philipp M Keune, Uwe Menge, Ulrich Hofstadt-van Oy, Patrick Oschmann, Olaf Hoos

Abstract

Physical disability in multiple sclerosis (MS) is frequently characterized by impaired ambulation. Although walking tests have been successfully employed to assess walking ability in MS patients, data analytic procedures have predominantly relied on result-oriented parameters (e.g. total distance covered during a given amount of time), whereas process-oriented, dynamic walking patterns have mostly been ignored. This is striking, since healthy individuals have been observed to display a stereotypical U-shaped pattern of walking speed during timed walking, characterized by relatively high speed during the initial phase, subsequent slowing and final acceleration. Objective of the current study was to test the utility of the 6 min Walk (6MW) and the 12 min Walk (12MW) for revealing putatively abnormal temporal dynamic features of walking in MS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Researcher 12 15%
Student > Master 9 11%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 14 17%
Unknown 24 29%
Readers by discipline Count As %
Medicine and Dentistry 12 15%
Sports and Recreations 8 10%
Neuroscience 7 9%
Nursing and Health Professions 6 7%
Psychology 5 6%
Other 10 12%
Unknown 34 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 December 2012.
All research outputs
#15,260,208
of 22,691,736 outputs
Outputs from BMC Neurology
#1,478
of 2,418 outputs
Outputs of similar age
#181,435
of 280,466 outputs
Outputs of similar age from BMC Neurology
#31
of 48 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 280,466 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.