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Automaticity of walking: functional significance, mechanisms, measurement and rehabilitation strategies

Overview of attention for article published in Frontiers in Human Neuroscience, May 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
17 news outlets
blogs
2 blogs
twitter
15 X users
facebook
4 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
280 Dimensions

Readers on

mendeley
438 Mendeley
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Title
Automaticity of walking: functional significance, mechanisms, measurement and rehabilitation strategies
Published in
Frontiers in Human Neuroscience, May 2015
DOI 10.3389/fnhum.2015.00246
Pubmed ID
Authors

David J. Clark

Abstract

Automaticity is a hallmark feature of walking in adults who are healthy and well-functioning. In the context of walking, "automaticity" refers to the ability of the nervous system to successfully control typical steady state walking with minimal use of attention-demanding executive control resources. Converging lines of evidence indicate that walking deficits and disorders are characterized in part by a shift in the locomotor control strategy from healthy automaticity to compensatory executive control. This is potentially detrimental to walking performance, as an executive control strategy is not optimized for locomotor control. Furthermore, it places excessive demands on a limited pool of executive reserves. The result is compromised ability to perform basic and complex walking tasks and heightened risk for adverse mobility outcomes including falls. Strategies for rehabilitation of automaticity are not well defined, which is due to both a lack of systematic research into the causes of impaired automaticity and to a lack of robust neurophysiological assessments by which to gauge automaticity. These gaps in knowledge are concerning given the serious functional implications of compromised automaticity. Therefore, the objective of this article is to advance the science of automaticity of walking by consolidating evidence and identifying gaps in knowledge regarding: (a) functional significance of automaticity; (b) neurophysiology of automaticity;

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 438 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Unknown 435 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 18%
Student > Master 50 11%
Researcher 46 11%
Student > Bachelor 46 11%
Student > Doctoral Student 23 5%
Other 74 17%
Unknown 122 28%
Readers by discipline Count As %
Medicine and Dentistry 64 15%
Neuroscience 50 11%
Nursing and Health Professions 48 11%
Engineering 38 9%
Sports and Recreations 26 6%
Other 60 14%
Unknown 152 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 153. 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 19 April 2023.
All research outputs
#273,857
of 25,744,802 outputs
Outputs from Frontiers in Human Neuroscience
#123
of 7,754 outputs
Outputs of similar age
#2,844
of 280,021 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#5
of 186 outputs
Altmetric has tracked 25,744,802 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 7,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 98% 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 280,021 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 98% of its contemporaries.
We're also able to compare this research output to 186 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 97% of its contemporaries.