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Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

Overview of attention for article published in Computer Methods & Programs in Biomedicine, June 2022
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1 X user

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261 Mendeley
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Article details
Title
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
Published in
Computer Methods & Programs in Biomedicine, June 2022
DOI 10.1016/j.cmpb.2022.106951
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 261 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 7%
Student > Master 13 5%
Lecturer 12 5%
Student > Bachelor 9 3%
Other 8 3%
Other 32 12%
Unknown 170 65%
Readers by discipline
Readers by discipline Count As %
Computer Science 47 18%
Engineering 22 8%
Medicine and Dentistry 8 3%
Earth and Planetary Sciences 3 1%
Unspecified 2 <1%
Other 8 3%
Unknown 171 66%
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 30 June 2022.
All research outputs
#31,204,628
of 34,386,255 outputs
Outputs from Computer Methods & Programs in Biomedicine
#2,356
of 2,709 outputs
Outputs of similar age
#391,281
of 455,288 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#78
of 97 outputs
Altmetric has tracked 34,386,255 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 2,709 research outputs from this source. They receive a mean Attention Score of 4.2. 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 455,288 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 97 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.