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Deep Neural Network for Differentiation of Brain Tumor Tissue Displayed by Confocal Laser Endomicroscopy

Overview of attention for article published in Frontiers in oncology, May 2021
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

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24 Mendeley
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Title
Deep Neural Network for Differentiation of Brain Tumor Tissue Displayed by Confocal Laser Endomicroscopy
Published in
Frontiers in oncology, May 2021
DOI 10.3389/fonc.2021.668273
Pubmed ID
Authors

Andreas Ziebart, Denis Stadniczuk, Veronika Roos, Miriam Ratliff, Andreas von Deimling, Daniel Hänggi, Frederik Enders

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 8%
Other 2 8%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Student > Master 1 4%
Other 2 8%
Unknown 14 58%
Readers by discipline Count As %
Computer Science 2 8%
Neuroscience 2 8%
Engineering 2 8%
Medicine and Dentistry 2 8%
Environmental Science 1 4%
Other 2 8%
Unknown 13 54%
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 29 May 2021.
All research outputs
#22,774,430
of 25,387,668 outputs
Outputs from Frontiers in oncology
#15,926
of 22,433 outputs
Outputs of similar age
#390,612
of 453,877 outputs
Outputs of similar age from Frontiers in oncology
#806
of 1,266 outputs
Altmetric has tracked 25,387,668 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 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. 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 453,877 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 1,266 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.