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Mendeley readers
Chapter title |
A Clinical Tool for Automated Flow Cytometry Based on Machine Learning Methods
|
---|---|
Chapter number | 48 |
Book title |
Bioinformatics and Biomedical Engineering
|
Published by |
Springer, Cham, April 2017
|
DOI | 10.1007/978-3-319-56154-7_48 |
Book ISBNs |
978-3-31-956153-0, 978-3-31-956154-7
|
Authors |
Claude Takenga, Michael Dworzak, Markus Diem, Rolf-Dietrich Berndt, Erling Si, Michael Brandstoetter, Leonid Karawajew, Melanie Gau, Martin Kampel |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 25% |
Student > Master | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Student > Bachelor | 1 | 6% |
Other | 1 | 6% |
Unknown | 5 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 25% |
Computer Science | 3 | 19% |
Engineering | 2 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 0 | 0% |
Unknown | 5 | 31% |