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Examination of the gait pattern based on adjusting and resulting components of the stride-to-stride variability: proof of concept

Overview of attention for article published in BMC Research Notes, July 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Examination of the gait pattern based on adjusting and resulting components of the stride-to-stride variability: proof of concept
Published in
BMC Research Notes, July 2017
DOI 10.1186/s13104-017-2623-8
Pubmed ID
Authors

U. Laessoe, N. M. B. Jensen, P. Madeleine

Abstract

Stride-to-stride variability may be used as an indicator in the assessment of gait performance, but the evaluation of this parameter is not trivial. In the gait pattern, a deviation in one stride must be corrected within the next strides (elemental variables) to ensure a steady gait (performance variable). The variance in these elemental and performance variables may therefore be evaluated as adjusting and resulting components of variability. We explored this approach to gait evaluation by matching the velocity of one stride to a subsequent stride with four different time lags ranging from 0.5 to 2 strides with 0.5 stride increments. The time lag values corresponded to the following contralateral stride, the following ipsilateral stride, the second following contralateral stride and the second following ipsilateral stride. Twenty asymptomatic young adults walked on an instrumented treadmill at their preferred gait speed. The stride velocity was calculated, and variances in the stride-to-stride differences and in the stride-to-stride sums represented the adjusting and the resulting variances, respectively. A ratio between these values of greater than one indicated a meaningful stride-to-stride interaction. For the four time lags (0.5, 1, 1.5, and 2 strides), the adjusting/resulting variance ratios (mean and CI 95%) were 1.0 (0.8-1.2), 2.9 (2.3-3.6), 1.2 (1.0-1.4) and 1.2 (0.9-1.4), respectively. This new approach to the evaluation of stride-to-stride variability suggests that gait velocity adjustments occurred within one full stride cycle during treadmill walking among asymptomatic young adults. The validity of the approach needs to be tested in over-ground walking.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 23%
Student > Ph. D. Student 4 18%
Researcher 3 14%
Student > Doctoral Student 2 9%
Student > Master 1 5%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Engineering 5 23%
Nursing and Health Professions 3 14%
Computer Science 2 9%
Neuroscience 2 9%
Economics, Econometrics and Finance 1 5%
Other 1 5%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 August 2017.
All research outputs
#7,004,667
of 22,996,001 outputs
Outputs from BMC Research Notes
#1,107
of 4,284 outputs
Outputs of similar age
#111,182
of 315,213 outputs
Outputs of similar age from BMC Research Notes
#37
of 145 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 74% 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 315,213 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.