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An artificial intelligence-based bone age assessment model for Han and Tibetan children

Overview of attention for article published in Frontiers in Physiology, February 2024
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1 X user

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5 Mendeley
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Title
An artificial intelligence-based bone age assessment model for Han and Tibetan children
Published in
Frontiers in Physiology, February 2024
DOI 10.3389/fphys.2024.1329145
Pubmed ID
Authors

Qixing Liu, Huogen Wang, Cidan Wangjiu, Tudan Awang, Meijie Yang, Puqiong Qiongda, Xiao Yang, Hui Pan, Fengdan Wang

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Student > Doctoral Student 1 20%
Unknown 3 60%
Readers by discipline Count As %
Sports and Recreations 1 20%
Medicine and Dentistry 1 20%
Unknown 3 60%
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 15 February 2024.
All research outputs
#22,752,567
of 25,376,646 outputs
Outputs from Frontiers in Physiology
#10,479
of 15,572 outputs
Outputs of similar age
#141,194
of 173,774 outputs
Outputs of similar age from Frontiers in Physiology
#60
of 175 outputs
Altmetric has tracked 25,376,646 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 15,572 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 173,774 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 175 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.