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Quantitative analysis of human ankle characteristics at different gait phases and speeds for utilizing in ankle-foot prosthetic design

Overview of attention for article published in BioMedical Engineering OnLine, February 2014
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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2 X users

Citations

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26 Dimensions

Readers on

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115 Mendeley
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Title
Quantitative analysis of human ankle characteristics at different gait phases and speeds for utilizing in ankle-foot prosthetic design
Published in
BioMedical Engineering OnLine, February 2014
DOI 10.1186/1475-925x-13-19
Pubmed ID
Authors

Zahra Safaeepour, Ali Esteki, Farhad Tabatabai Ghomshe, Noor Azuan Abu Osman

Abstract

Ankle characteristics vary in terms of gait phase and speed change. This study aimed to quantify the components of ankle characteristics, including quasi-stiffness and work in different gait phases and at various speeds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Unknown 113 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 22%
Student > Ph. D. Student 17 15%
Student > Bachelor 16 14%
Student > Doctoral Student 10 9%
Other 8 7%
Other 23 20%
Unknown 16 14%
Readers by discipline Count As %
Engineering 53 46%
Nursing and Health Professions 12 10%
Medicine and Dentistry 9 8%
Sports and Recreations 5 4%
Design 3 3%
Other 10 9%
Unknown 23 20%
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 17 February 2015.
All research outputs
#15,325,004
of 22,792,160 outputs
Outputs from BioMedical Engineering OnLine
#424
of 824 outputs
Outputs of similar age
#131,398
of 221,262 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 11 outputs
Altmetric has tracked 22,792,160 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 824 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 36th percentile – i.e., 36% 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 221,262 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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 54% of its contemporaries.