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Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images

Overview of attention for article published in BMC Medical Imaging, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images
Published in
BMC Medical Imaging, August 2022
DOI 10.1186/s12880-022-00871-w
Pubmed ID
Authors

James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Student > Ph. D. Student 2 6%
Lecturer 1 3%
Other 3 9%
Unknown 20 57%
Readers by discipline Count As %
Computer Science 6 17%
Medicine and Dentistry 4 11%
Engineering 3 9%
Sports and Recreations 1 3%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 20 57%
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 10 August 2022.
All research outputs
#19,729,060
of 24,247,965 outputs
Outputs from BMC Medical Imaging
#390
of 635 outputs
Outputs of similar age
#307,204
of 420,488 outputs
Outputs of similar age from BMC Medical Imaging
#12
of 29 outputs
Altmetric has tracked 24,247,965 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 635 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 25th percentile – i.e., 25% 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 420,488 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.