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Osteoporosis, fracture and survival: Application of machine learning in breast cancer prediction models

Overview of attention for article published in Frontiers in oncology, August 2022
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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20 Mendeley
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Title
Osteoporosis, fracture and survival: Application of machine learning in breast cancer prediction models
Published in
Frontiers in oncology, August 2022
DOI 10.3389/fonc.2022.973307
Pubmed ID
Authors

Lichen Ji, Wei Zhang, Xugang Zhong, Tingxiao Zhao, Xixi Sun, Senbo Zhu, Yu Tong, Junchao Luo, Youjia Xu, Di Yang, Yao Kang, Jin Wang, Qing Bi

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 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 > Bachelor 2 10%
Student > Master 1 5%
Researcher 1 5%
Other 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 14 70%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 10%
Computer Science 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Arts and Humanities 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 13 65%
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 29 August 2022.
All research outputs
#23,214,800
of 25,872,466 outputs
Outputs from Frontiers in oncology
#16,270
of 22,820 outputs
Outputs of similar age
#368,762
of 434,417 outputs
Outputs of similar age from Frontiers in oncology
#1,365
of 1,806 outputs
Altmetric has tracked 25,872,466 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 22,820 research outputs from this source. They receive a mean Attention Score of 3.1. 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 434,417 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 1,806 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.