You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Transformer Model for Retrosynthesis
|
---|---|
Chapter number | 78 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-30493-5_78 |
Book ISBNs |
978-3-03-030492-8, 978-3-03-030493-5
|
Authors |
Pavel Karpov, Guillaume Godin, Igor V. Tetko, Karpov, Pavel, Godin, Guillaume, Tetko, Igor V. |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 94 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 17% |
Student > Master | 14 | 15% |
Researcher | 11 | 12% |
Student > Bachelor | 7 | 7% |
Student > Doctoral Student | 6 | 6% |
Other | 14 | 15% |
Unknown | 26 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 27% |
Chemistry | 15 | 16% |
Chemical Engineering | 7 | 7% |
Biochemistry, Genetics and Molecular Biology | 5 | 5% |
Physics and Astronomy | 3 | 3% |
Other | 8 | 9% |
Unknown | 31 | 33% |