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Mendeley readers
Chapter title |
Prediction of rate of penetration with data from adjacent well using artificial neural network
|
---|---|
Chapter number | 68 |
Book title |
Geotechnics for Sustainable Infrastructure Development
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-2184-3_68 |
Book ISBNs |
978-9-81-152183-6, 978-9-81-152184-3
|
Authors |
Melvin Diaz, Kwang Yeom Kim, Jangguen Lee, Hyu-Seoung Shin, Diaz, Melvin, Kim, Kwang Yeom, Lee, Jangguen, Shin, Hyu-Seoung |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 17% |
Professor > Associate Professor | 1 | 17% |
Other | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 1 | 17% |
Energy | 1 | 17% |
Medicine and Dentistry | 1 | 17% |
Unknown | 3 | 50% |