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X Demographics
Mendeley readers
Title |
Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis
|
---|---|
Published in |
Food Science and Technology, June 2020
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DOI | 10.1590/fst.02119 |
Authors |
Magale Karine Diel RAMBO, Márcia Miguel Castro FERREIRA, Polyana Morais de MELO, Claúdio Carneiro SANTANA, Daniel Assumpção BERTUOL, Michele Cristiane Diel RAMBO |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 23% |
Student > Master | 4 | 11% |
Student > Ph. D. Student | 3 | 9% |
Student > Bachelor | 2 | 6% |
Professor | 2 | 6% |
Other | 6 | 17% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 23% |
Agricultural and Biological Sciences | 6 | 17% |
Chemistry | 3 | 9% |
Environmental Science | 2 | 6% |
Energy | 2 | 6% |
Other | 0 | 0% |
Unknown | 14 | 40% |