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Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments

Overview of attention for article published in Frontiers in Robotics and AI, November 2020
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Mentioned by

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1 X user

Citations

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27 Dimensions

Readers on

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44 Mendeley
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Title
Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments
Published in
Frontiers in Robotics and AI, November 2020
DOI 10.3389/frobt.2020.591827
Pubmed ID
Authors

Shivanand S. Gornale, Pooja U. Patravali, Prakash S. Hiremath

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 11%
Student > Master 4 9%
Lecturer 3 7%
Unspecified 2 5%
Other 1 2%
Other 2 5%
Unknown 27 61%
Readers by discipline Count As %
Computer Science 7 16%
Medicine and Dentistry 6 14%
Engineering 2 5%
Unspecified 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 26 59%
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 16 November 2020.
All research outputs
#18,771,452
of 23,263,851 outputs
Outputs from Frontiers in Robotics and AI
#1,327
of 1,535 outputs
Outputs of similar age
#283,694
of 378,747 outputs
Outputs of similar age from Frontiers in Robotics and AI
#62
of 72 outputs
Altmetric has tracked 23,263,851 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 1,535 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. 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 378,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 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.