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Mendeley readers
| Chapter title |
Machine Learning Predictions of Factors Affecting the Activity of Heterogeneous Metal Catalysts
|
|---|---|
| Chapter number | 3 |
| Book title |
Nanoinformatics
|
| Published by |
Springer, Singapore, January 2018
|
| DOI | 10.1007/978-981-10-7617-6_3 |
| Book ISBNs |
978-9-81-107616-9, 978-9-81-107617-6
|
| Authors |
Ichigaku Takigawa, Ken-ichi Shimizu, Koji Tsuda, Satoru Takakusagi |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Researcher | 8 | 20% |
| Student > Bachelor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 10 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 25% |
| Chemical Engineering | 6 | 15% |
| Materials Science | 4 | 10% |
| Engineering | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 13 | 33% |