Spectroscopic Techniques
Springer Singapore
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Timeline
Mendeley readers
| Title |
Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
|
|---|---|
| Published by |
Springer Singapore, October 2020
|
| DOI | 10.1007/978-981-15-6495-6 |
| ISBNs |
978-9-81-156494-9, 978-9-81-156495-6
|
| Editors |
Shukla, Ashutosh Kumar |
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 | 5 | 16% |
| Unspecified | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 11 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Agricultural and Biological Sciences | 4 | 13% |
| Chemical Engineering | 2 | 6% |
| Chemistry | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 8 | 25% |
| Unknown | 10 | 31% |