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A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH)

Overview of attention for article published in Frontiers in Pediatrics, November 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
3 Mendeley
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Title
A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH)
Published in
Frontiers in Pediatrics, November 2023
DOI 10.3389/fped.2023.1293320
Pubmed ID
Authors

Xiaoyi Chen, Shuangshuang Zhang, Wei Shi, Dechao Wu, Bingxuan Huang, Hongwei Tao, Xuezhi He, Na Xu

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
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 09 December 2023.
All research outputs
#21,251,718
of 26,096,076 outputs
Outputs from Frontiers in Pediatrics
#4,292
of 7,996 outputs
Outputs of similar age
#246,996
of 348,578 outputs
Outputs of similar age from Frontiers in Pediatrics
#113
of 300 outputs
Altmetric has tracked 26,096,076 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,996 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 34th percentile – i.e., 34% 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 348,578 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.