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Acral melanoma detection using dermoscopic images and convolutional neural networks

Overview of attention for article published in Visual Computing for Industry, Biomedicine, and Art, October 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
6 X users

Citations

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16 Dimensions

Readers on

mendeley
47 Mendeley
Title
Acral melanoma detection using dermoscopic images and convolutional neural networks
Published in
Visual Computing for Industry, Biomedicine, and Art, October 2021
DOI 10.1186/s42492-021-00091-z
Pubmed ID
Authors

Qaiser Abbas, Farheen Ramzan, Muhammad Usman Ghani

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 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 > Ph. D. Student 3 6%
Lecturer 3 6%
Other 2 4%
Student > Doctoral Student 2 4%
Unspecified 2 4%
Other 5 11%
Unknown 30 64%
Readers by discipline Count As %
Computer Science 7 15%
Engineering 5 11%
Unspecified 2 4%
Chemistry 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 31 66%
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 09 October 2021.
All research outputs
#15,751,285
of 25,392,582 outputs
Outputs from Visual Computing for Industry, Biomedicine, and Art
#20
of 48 outputs
Outputs of similar age
#220,748
of 437,033 outputs
Outputs of similar age from Visual Computing for Industry, Biomedicine, and Art
#1
of 2 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 2.9. This one scored the same or higher as 28 of them.
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 437,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them