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Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines…

Overview of attention for article published in Frontiers in oncology, February 2024
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1 X user

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3 Mendeley
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Title
Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests
Published in
Frontiers in oncology, February 2024
DOI 10.3389/fonc.2024.1325514
Pubmed ID
Authors

Huijie Wang, Xu Cao, Ping Meng, Caihua Zheng, Jinli Liu, Yong Liu, Tianpeng Zhang, Xiaofang Li, Xiaoyang Shi, Xiaoxing Sun, Teng Zhang, Haiying Zuo, Zhichao Wang, Xin Fu, Huan Li, Huanwei Zheng

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 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 %
Lecturer 2 67%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
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 24 February 2024.
All research outputs
#23,229,566
of 25,887,951 outputs
Outputs from Frontiers in oncology
#16,279
of 22,829 outputs
Outputs of similar age
#276,266
of 340,735 outputs
Outputs of similar age from Frontiers in oncology
#677
of 809 outputs
Altmetric has tracked 25,887,951 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 22,829 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 340,735 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 809 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.