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A deep learning method for foot-type classification using plantar pressure images

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
7 Mendeley
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Title
A deep learning method for foot-type classification using plantar pressure images
Published in
Frontiers in Bioengineering and Biotechnology, September 2023
DOI 10.3389/fbioe.2023.1239246
Pubmed ID
Authors

Yangyang Zhao, Jiali Zhou, Fei Qiu, Xuying Liao, Jianhua Jiang, Heqing Chen, Xiaomei Lin, Yiqun Hu, Jianquan He, Jian Chen

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Engineering 3 43%
Sports and Recreations 1 14%
Unknown 3 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 11 September 2023.
All research outputs
#21,667,609
of 26,603,725 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,358
of 8,836 outputs
Outputs of similar age
#263,814
of 364,411 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#106
of 371 outputs
Altmetric has tracked 26,603,725 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 8,836 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 30th percentile – i.e., 30% 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 364,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 371 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.