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An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs

Overview of attention for article published in Frontiers in Physiology, June 2021
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Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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49 Mendeley
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Title
An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs
Published in
Frontiers in Physiology, June 2021
DOI 10.3389/fphys.2021.655556
Pubmed ID
Authors

Haoyang Li, Juexiao Zhou, Yi Zhou, Qiang Chen, Yangyang She, Feng Gao, Ying Xu, Jieyu Chen, Xin Gao

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

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 10%
Student > Doctoral Student 4 8%
Student > Ph. D. Student 2 4%
Other 2 4%
Researcher 2 4%
Other 8 16%
Unknown 26 53%
Readers by discipline Count As %
Medicine and Dentistry 14 29%
Computer Science 3 6%
Engineering 2 4%
Linguistics 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 26 53%
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 22 June 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from Frontiers in Physiology
#9,652
of 14,041 outputs
Outputs of similar age
#365,046
of 443,946 outputs
Outputs of similar age from Frontiers in Physiology
#404
of 617 outputs
Altmetric has tracked 23,308,124 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 14,041 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 443,946 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 617 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.