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Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care: A study protocol

Overview of attention for article published in Frontiers in Cardiovascular Medicine, December 2023
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2 X users

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Title
Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care: A study protocol
Published in
Frontiers in Cardiovascular Medicine, December 2023
DOI 10.3389/fcvm.2022.1091885
Pubmed ID
Authors

Tianyu Gao, Hao Ren, Shan He, Deyi Liang, Yuming Xu, Kecheng Chen, Yufan Wang, Yuxin Zhu, Heling Dong, Zhongzhi Xu, Weiming Chen, Weibin Cheng, Fengshi Jing, Xiaoyu Tao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 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 %
Lecturer 3 15%
Student > Bachelor 2 10%
Unspecified 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Other 2 10%
Unknown 10 50%
Readers by discipline Count As %
Nursing and Health Professions 4 20%
Unspecified 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Other 1 5%
Unknown 11 55%
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 03 December 2023.
All research outputs
#20,278,934
of 24,932,492 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,249
of 8,823 outputs
Outputs of similar age
#118,982
of 176,775 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#105
of 269 outputs
Altmetric has tracked 24,932,492 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 8,823 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 37th percentile – i.e., 37% 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 176,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 269 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.