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Explainable machine learning models for predicting 30-day readmission in pediatric pulmonary hypertension: A multicenter, retrospective study

Overview of attention for article published in Frontiers in Cardiovascular Medicine, July 2022
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1 X user

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Title
Explainable machine learning models for predicting 30-day readmission in pediatric pulmonary hypertension: A multicenter, retrospective study
Published in
Frontiers in Cardiovascular Medicine, July 2022
DOI 10.3389/fcvm.2022.919224
Pubmed ID
Authors

Minjie Duan, Tingting Shu, Binyi Zhao, Tianyu Xiang, Jinkui Wang, Haodong Huang, Yang Zhang, Peilin Xiao, Bei Zhou, Zulong Xie, Xiaozhu Liu

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Other 3 15%
Student > Master 2 10%
Researcher 2 10%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 7 35%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Computer Science 2 10%
Business, Management and Accounting 1 5%
Nursing and Health Professions 1 5%
Arts and Humanities 1 5%
Other 3 15%
Unknown 8 40%
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 27 July 2022.
All research outputs
#20,420,242
of 22,971,207 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,280
of 6,872 outputs
Outputs of similar age
#342,345
of 431,531 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#622
of 991 outputs
Altmetric has tracked 22,971,207 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 6,872 research outputs from this source. They receive a mean Attention Score of 4.2. 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 431,531 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 991 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.