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Mendeley readers
Chapter title |
Machine Learning Methods for Sweet Spot Detection: A Case Study
|
---|---|
Chapter number | 38 |
Book title |
Geostatistics Valencia 2016
|
Published in |
Quantitative Geology and Geostatistics, March 2017
|
DOI | 10.1007/978-3-319-46819-8_38 |
Book ISBNs |
978-3-31-946818-1, 978-3-31-946819-8
|
Authors |
Vera Louise Hauge, Gudmund Horn Hermansen |
Editors |
J. Jaime Gómez-Hernández, Javier Rodrigo-Ilarri, María Elena Rodrigo-Clavero, Eduardo Cassiraga, José Antonio Vargas-Guzmán |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 28% |
Other | 5 | 16% |
Professor > Associate Professor | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Other | 7 | 22% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 10 | 31% |
Engineering | 6 | 19% |
Environmental Science | 2 | 6% |
Computer Science | 2 | 6% |
Physics and Astronomy | 1 | 3% |
Other | 3 | 9% |
Unknown | 8 | 25% |