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Stance and Swing Detection Based on the Angular Velocity of Lower Limb Segments During Walking

Overview of attention for article published in Frontiers in Neurorobotics, July 2019
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Mentioned by

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2 X users

Citations

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52 Dimensions

Readers on

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162 Mendeley
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Title
Stance and Swing Detection Based on the Angular Velocity of Lower Limb Segments During Walking
Published in
Frontiers in Neurorobotics, July 2019
DOI 10.3389/fnbot.2019.00057
Pubmed ID
Authors

Martin Grimmer, Kai Schmidt, Jaime E. Duarte, Lukas Neuner, Gleb Koginov, Robert Riener

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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 162 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 19%
Student > Ph. D. Student 21 13%
Student > Bachelor 14 9%
Researcher 11 7%
Student > Doctoral Student 10 6%
Other 18 11%
Unknown 58 36%
Readers by discipline Count As %
Engineering 61 38%
Nursing and Health Professions 8 5%
Neuroscience 8 5%
Sports and Recreations 7 4%
Medicine and Dentistry 4 2%
Other 10 6%
Unknown 64 40%
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 26 July 2019.
All research outputs
#20,854,259
of 25,622,179 outputs
Outputs from Frontiers in Neurorobotics
#655
of 1,050 outputs
Outputs of similar age
#273,954
of 359,693 outputs
Outputs of similar age from Frontiers in Neurorobotics
#19
of 36 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,050 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 23rd percentile – i.e., 23% 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 359,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.