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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

twitter
1 tweeter

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
47 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Ph. D. Student 6 13%
Researcher 4 9%
Professor > Associate Professor 2 4%
Student > Doctoral Student 1 2%
Other 4 9%
Unknown 23 49%
Readers by discipline Count As %
Computer Science 11 23%
Engineering 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 24 51%

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
#17,645,932
of 19,911,470 outputs
Outputs from Cancer Cell International
#880
of 1,391 outputs
Outputs of similar age
#394,435
of 469,920 outputs
Outputs of similar age from Cancer Cell International
#117
of 242 outputs
Altmetric has tracked 19,911,470 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 1,391 research outputs from this source. They receive a mean Attention Score of 2.0. 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 469,920 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 242 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.