The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep Learning
|
---|---|
Published in |
Frontiers in Plant Science, August 2020
|
DOI | 10.3389/fpls.2020.01275 |
Pubmed ID | |
Authors |
Faraz Ahmad Khan, Ute Voß, Michael P Pound, Andrew P French |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 13% |
Student > Bachelor | 2 | 9% |
Student > Postgraduate | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Student > Doctoral Student | 1 | 4% |
Other | 2 | 9% |
Unknown | 11 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 17% |
Engineering | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Unspecified | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Other | 3 | 13% |
Unknown | 11 | 48% |