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Mendeley readers
Chapter title |
Interpretable Deep Learning in Drug Discovery
|
---|---|
Chapter number | 18 |
Book title |
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-28954-6_18 |
Book ISBNs |
978-3-03-028953-9, 978-3-03-028954-6
|
Authors |
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 232 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 21% |
Researcher | 41 | 18% |
Student > Master | 33 | 14% |
Student > Bachelor | 20 | 9% |
Professor | 7 | 3% |
Other | 28 | 12% |
Unknown | 55 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 63 | 27% |
Chemistry | 24 | 10% |
Engineering | 19 | 8% |
Biochemistry, Genetics and Molecular Biology | 16 | 7% |
Physics and Astronomy | 7 | 3% |
Other | 44 | 19% |
Unknown | 59 | 25% |