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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fall-related gait characteristics on the treadmill and in daily life
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, February 2016
|
| DOI | 10.1186/s12984-016-0118-9 |
| Pubmed ID | |
| Authors |
Sietse M. Rispens, Jaap H. Van Dieën, Kimberley S. Van Schooten, L. Eduardo Cofré Lizama, Andreas Daffertshofer, Peter J. Beek, Mirjam Pijnappels |
| Abstract |
Body-worn sensors allow assessment of gait characteristics that are predictive of fall risk, both when measured during treadmill walking and in daily life. The present study aimed to assess differences as well as associations between fall-related gait characteristics measured on a treadmill and in daily life. In a cross-sectional study, trunk accelerations of 18 older adults (72.3 ± 4.5 years) were recorded during walking on a treadmill (Dynaport Hybrid sensor) and during daily life (Dynaport MoveMonitor). A comprehensive set of 32 fall-risk-related gait characteristics was estimated and compared between both settings. For 25 gait characteristics, a systematic difference between treadmill and daily-life measurements was found. Gait was more variable, less symmetric, and less stable during daily life. Fourteen characteristics showed a significant correlation between treadmill and daily-life measurements, including stride time and regularity (0.48 < r < 0.73; p < 0.022). No correlation between treadmill and daily-life measurements was found for stride-time variability, acceleration range and sample entropy in vertical and mediolateral direction, gait symmetry in vertical direction, and stability estimated as the local divergence exponent by Rosenstein's method in mediolateral direction (r < 0.16; p > 0.25). Gait characteristics revealed less stable, less symmetric, and more variable gait during daily life than on a treadmill, yet about half of the characteristics were significantly correlated between conditions. These results suggest that daily-life gait analysis is sensitive to static personal factors (i.e., physical and cognitive capacity) as well as dynamic situational factors (i.e., behavior and environment), which may both represent determinants of fall risk. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 33% |
| United States | 1 | 17% |
| Netherlands | 1 | 17% |
| Australia | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 154 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 15% |
| Student > Master | 24 | 15% |
| Researcher | 17 | 11% |
| Student > Bachelor | 17 | 11% |
| Student > Doctoral Student | 9 | 6% |
| Other | 28 | 18% |
| Unknown | 37 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 15% |
| Medicine and Dentistry | 21 | 13% |
| Neuroscience | 12 | 8% |
| Sports and Recreations | 12 | 8% |
| Nursing and Health Professions | 11 | 7% |
| Other | 25 | 16% |
| Unknown | 52 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 February 2016.
All research outputs
#12,720,222
of 22,786,087 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#567
of 1,278 outputs
Outputs of similar age
#176,779
of 396,919 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#12
of 29 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,278 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 54% 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 396,919 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 55% of its contemporaries.
We're also able to compare this research output to 29 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 62% of its contemporaries.