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A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2020
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1 X user

Citations

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72 Dimensions

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185 Mendeley
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Title
A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks
Published in
Frontiers in Bioengineering and Biotechnology, January 2020
DOI 10.3389/fbioe.2020.00009
Pubmed ID
Authors

Bernd J. Stetter, Frieder C. Krafft, Steffen Ringhof, Thorsten Stein, Stefan Sell

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 18%
Student > Master 28 15%
Researcher 22 12%
Student > Bachelor 12 6%
Other 7 4%
Other 22 12%
Unknown 61 33%
Readers by discipline Count As %
Engineering 43 23%
Sports and Recreations 18 10%
Medicine and Dentistry 10 5%
Computer Science 7 4%
Nursing and Health Professions 7 4%
Other 21 11%
Unknown 79 43%
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 24 January 2020.
All research outputs
#20,601,627
of 23,189,371 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,703
of 6,872 outputs
Outputs of similar age
#377,616
of 452,014 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#213
of 247 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,872 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 452,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.