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Mendeley readers
Chapter title |
MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins
|
---|---|
Chapter number | 29 |
Book title |
Research in Computational Molecular Biology
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-45257-5_29 |
Book ISBNs |
978-3-03-045256-8, 978-3-03-045257-5
|
Authors |
Shuya Li, Fangping Wan, Hantao Shu, Tao Jiang, Dan Zhao, Jianyang Zeng, Li, Shuya, Wan, Fangping, Shu, Hantao, Jiang, Tao, Zhao, Dan, Zeng, Jianyang |
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 % |
---|---|---|
Student > Ph. D. Student | 4 | 25% |
Student > Master | 3 | 19% |
Researcher | 3 | 19% |
Professor > Associate Professor | 1 | 6% |
Unknown | 5 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 38% |
Chemical Engineering | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 1 | 6% |
Unknown | 5 | 31% |