↓ Skip to main content

Classification of gait phases based on a machine learning approach using muscle synergy

Overview of attention for article published in Frontiers in Human Neuroscience, May 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Classification of gait phases based on a machine learning approach using muscle synergy
Published in
Frontiers in Human Neuroscience, May 2023
DOI 10.3389/fnhum.2023.1201935
Pubmed ID
Authors

Heesu Park, Sungmin Han, Joohwan Sung, Soree Hwang, Inchan Youn, Seung-Jong Kim

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

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 3 11%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Researcher 1 4%
Other 0 0%
Unknown 17 63%
Readers by discipline Count As %
Engineering 2 7%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Sports and Recreations 1 4%
Other 3 11%
Unknown 18 67%
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 07 June 2023.
All research outputs
#19,578,188
of 24,938,276 outputs
Outputs from Frontiers in Human Neuroscience
#5,975
of 7,584 outputs
Outputs of similar age
#260,503
of 374,895 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#59
of 96 outputs
Altmetric has tracked 24,938,276 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 16th percentile – i.e., 16% 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 374,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.