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Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study

Overview of attention for article published in Cancer Cell International, January 2021
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Mentioned by

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1 X user

Citations

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34 Dimensions

Readers on

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70 Mendeley
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Title
Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study
Published in
Cancer Cell International, January 2021
DOI 10.1186/s12935-020-01742-6
Pubmed ID
Authors

Xiangyu Tan, Kexin Li, Jiucheng Zhang, Wenzhe Wang, Bian Wu, Jian Wu, Xiaoping Li, Xiaoyuan Huang

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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Student > Master 8 11%
Researcher 6 9%
Unspecified 3 4%
Other 2 3%
Other 7 10%
Unknown 35 50%
Readers by discipline Count As %
Computer Science 18 26%
Engineering 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Unspecified 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 2 3%
Unknown 35 50%
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 08 January 2021.
All research outputs
#20,676,689
of 23,271,751 outputs
Outputs from Cancer Cell International
#1,396
of 1,843 outputs
Outputs of similar age
#429,524
of 503,269 outputs
Outputs of similar age from Cancer Cell International
#50
of 92 outputs
Altmetric has tracked 23,271,751 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 1,843 research outputs from this source. They receive a mean Attention Score of 4.0. 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 503,269 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 92 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.