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Machine learning for predicting the treatment effect of orthokeratology in children

Overview of attention for article published in Frontiers in Pediatrics, January 2023
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

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17 Mendeley
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Title
Machine learning for predicting the treatment effect of orthokeratology in children
Published in
Frontiers in Pediatrics, January 2023
DOI 10.3389/fped.2022.1057863
Pubmed ID
Authors

Jianxia Fang, Yuxi Zheng, Haochen Mou, Meipan Shi, Wangshu Yu, Chixin Du

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 12%
Unspecified 1 6%
Student > Bachelor 1 6%
Other 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 10 59%
Readers by discipline Count As %
Computer Science 3 18%
Medicine and Dentistry 2 12%
Neuroscience 1 6%
Unspecified 1 6%
Unknown 10 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 05 February 2023.
All research outputs
#20,693,952
of 23,292,144 outputs
Outputs from Frontiers in Pediatrics
#4,313
of 6,272 outputs
Outputs of similar age
#330,477
of 420,859 outputs
Outputs of similar age from Frontiers in Pediatrics
#209
of 375 outputs
Altmetric has tracked 23,292,144 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 6,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 420,859 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 375 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.