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Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, April 2023
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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13 Mendeley
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Title
Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative
Published in
Frontiers in Bioengineering and Biotechnology, April 2023
DOI 10.3389/fbioe.2023.1164655
Pubmed ID
Authors

Pauline Shan Qing Yeoh, Khin Wee Lai, Siew Li Goh, Khairunnisa Hasikin, Xiang Wu, Pei Li

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Unspecified 1 8%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Unknown 7 54%
Readers by discipline Count As %
Engineering 2 15%
Computer Science 1 8%
Unspecified 1 8%
Medicine and Dentistry 1 8%
Psychology 1 8%
Other 0 0%
Unknown 7 54%
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 14 April 2023.
All research outputs
#22,689,393
of 25,305,422 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#5,377
of 8,395 outputs
Outputs of similar age
#348,247
of 409,176 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#232
of 484 outputs
Altmetric has tracked 25,305,422 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 8,395 research outputs from this source. They receive a mean Attention Score of 3.5. 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 409,176 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 484 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.