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Segmentation of the cervical lesion region in colposcopic images based on deep learning

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

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Segmentation of the cervical lesion region in colposcopic images based on deep learning
Published in
Frontiers in oncology, August 2022
DOI 10.3389/fonc.2022.952847
Pubmed ID
Authors

Hui Yu, Yinuo Fan, Huizhan Ma, Haifeng Zhang, Chengcheng Cao, Xuyao Yu, Jinglai Sun, Yuzhen Cao, Yuzhen Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 12%
Unspecified 2 8%
Other 1 4%
Lecturer > Senior Lecturer 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 17 65%
Readers by discipline Count As %
Computer Science 4 15%
Biochemistry, Genetics and Molecular Biology 2 8%
Unspecified 2 8%
Engineering 2 8%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 15 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 August 2022.
All research outputs
#16,277,849
of 26,169,168 outputs
Outputs from Frontiers in oncology
#5,184
of 22,913 outputs
Outputs of similar age
#212,327
of 437,419 outputs
Outputs of similar age from Frontiers in oncology
#369
of 1,819 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 75% of its peers.
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 437,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,819 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.