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Deep transfer learning methods for colon cancer classification in confocal laser microscopy images

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, May 2019
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Mentioned by

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2 X users

Citations

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27 Dimensions

Readers on

mendeley
52 Mendeley
Title
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images
Published in
International Journal of Computer Assisted Radiology and Surgery, May 2019
DOI 10.1007/s11548-019-02004-1
Pubmed ID
Authors

Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht

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

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Master 8 15%
Student > Bachelor 6 12%
Student > Doctoral Student 4 8%
Researcher 4 8%
Other 4 8%
Unknown 17 33%
Readers by discipline Count As %
Computer Science 10 19%
Medicine and Dentistry 10 19%
Engineering 6 12%
Biochemistry, Genetics and Molecular Biology 2 4%
Physics and Astronomy 1 2%
Other 3 6%
Unknown 20 38%
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 22 May 2019.
All research outputs
#18,021,930
of 23,148,322 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#600
of 862 outputs
Outputs of similar age
#245,365
of 349,801 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#17
of 26 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 862 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 28th percentile – i.e., 28% 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 349,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.