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LABKIT: Labeling and Segmentation Toolkit for Big Image Data

Overview of attention for article published in Frontiers in Computer Science, February 2022
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Mentioned by

blogs
1 blog
twitter
86 X users

Citations

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100 Dimensions

Readers on

mendeley
138 Mendeley
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Title
LABKIT: Labeling and Segmentation Toolkit for Big Image Data
Published in
Frontiers in Computer Science, February 2022
DOI 10.3389/fcomp.2022.777728
Authors

Matthias Arzt, Joran Deschamps, Christopher Schmied, Tobias Pietzsch, Deborah Schmidt, Pavel Tomancak, Robert Haase, Florian Jug

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 15%
Student > Ph. D. Student 16 12%
Student > Master 10 7%
Student > Bachelor 9 7%
Student > Doctoral Student 8 6%
Other 17 12%
Unknown 57 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 13%
Agricultural and Biological Sciences 11 8%
Neuroscience 11 8%
Engineering 7 5%
Computer Science 4 3%
Other 23 17%
Unknown 64 46%