Article
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Mendeley readers
| Chapter title |
Application of Computational Intelligence Techniques for Forecasting Problematic Wine Fermentations Using Data from Classical Chemical Measurements
|
|---|---|
| Chapter number | 16 |
| Book title |
Innovations in Technologies for Fermented Food and Beverage Industries
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-74820-7_16 |
| Book ISBNs |
978-3-31-974819-1, 978-3-31-974820-7
|
| Authors |
Hernández, Gonzalo, León, Roberto, Urtubia, Alejandra |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 25% |
| Student > Master | 8 | 18% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Chemical Engineering | 4 | 9% |
| Engineering | 4 | 9% |
| Immunology and Microbiology | 2 | 5% |
| Other | 9 | 20% |
| Unknown | 11 | 25% |