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Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors

Overview of attention for article published in Frontiers in oncology, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors
Published in
Frontiers in oncology, February 2022
DOI 10.3389/fonc.2022.821453
Pubmed ID
Authors

Lin Sun, Lingping Yang, Xiyao Liu, Lan Tang, Qi Zeng, Yuwen Gao, Qian Chen, Zhaohai Liu, Bin Peng

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 14%
Researcher 3 10%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Student > Master 1 3%
Other 1 3%
Unknown 16 55%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Engineering 3 10%
Business, Management and Accounting 1 3%
Sports and Recreations 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 17 59%
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 05 March 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Frontiers in oncology
#9,332
of 22,436 outputs
Outputs of similar age
#391,760
of 548,503 outputs
Outputs of similar age from Frontiers in oncology
#648
of 1,567 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 49th percentile – i.e., 49% 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 548,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,567 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.