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Modeling and classification of gait patterns between anterior cruciate ligament deficient and intact knees based on phase space reconstruction, Euclidean distance and neural networks

Overview of attention for article published in BioMedical Engineering OnLine, November 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Modeling and classification of gait patterns between anterior cruciate ligament deficient and intact knees based on phase space reconstruction, Euclidean distance and neural networks
Published in
BioMedical Engineering OnLine, November 2018
DOI 10.1186/s12938-018-0594-1
Pubmed ID
Authors

Wenbao Wu, Wei Zeng, Limin Ma, Chengzhi Yuan, Yu Zhang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Bachelor 10 14%
Researcher 9 13%
Other 7 10%
Student > Postgraduate 3 4%
Other 7 10%
Unknown 24 33%
Readers by discipline Count As %
Medicine and Dentistry 18 25%
Nursing and Health Professions 9 13%
Engineering 5 7%
Sports and Recreations 5 7%
Computer Science 3 4%
Other 5 7%
Unknown 27 38%
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 08 March 2019.
All research outputs
#18,698,279
of 23,173,635 outputs
Outputs from BioMedical Engineering OnLine
#567
of 828 outputs
Outputs of similar age
#269,100
of 351,172 outputs
Outputs of similar age from BioMedical Engineering OnLine
#12
of 27 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They receive a mean Attention Score of 4.6. 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 351,172 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.