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Skin Cancer Classification With Deep Learning: A Systematic Review

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
129 Mendeley
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Title
Skin Cancer Classification With Deep Learning: A Systematic Review
Published in
Frontiers in oncology, July 2022
DOI 10.3389/fonc.2022.893972
Pubmed ID
Authors

Yinhao Wu, Bin Chen, An Zeng, Dan Pan, Ruixuan Wang, Shen Zhao

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

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 9%
Student > Master 9 7%
Student > Ph. D. Student 8 6%
Researcher 7 5%
Lecturer 4 3%
Other 16 12%
Unknown 73 57%
Readers by discipline Count As %
Computer Science 16 12%
Engineering 10 8%
Medicine and Dentistry 6 5%
Unspecified 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 10 8%
Unknown 79 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 29 April 2024.
All research outputs
#2,876,643
of 25,809,907 outputs
Outputs from Frontiers in oncology
#728
of 22,805 outputs
Outputs of similar age
#60,547
of 438,749 outputs
Outputs of similar age from Frontiers in oncology
#47
of 1,774 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,805 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% 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 438,749 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1,774 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.