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Mendeley readers
Chapter title |
A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data – A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis
|
---|---|
Chapter number | 12 |
Book title |
Pattern Recognition in Bioinformatics
|
Published by |
Springer, Berlin, Heidelberg, November 2012
|
DOI | 10.1007/978-3-642-34123-6_12 |
Book ISBNs |
978-3-64-234122-9, 978-3-64-234123-6
|
Authors |
Marcelo Maraschin, Amélia Somensi-Zeggio, Simone K. Oliveira, Shirley Kuhnen, Maíra M. Tomazzoli, Ana C. M. Zeri, Rafael Carreira, Miguel Rocha, Maraschin, Marcelo, Somensi-Zeggio, Amélia, Oliveira, Simone K., Kuhnen, Shirley, Tomazzoli, Maíra M., Zeri, Ana C. M., Carreira, Rafael, Rocha, Miguel |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 3% |
Unknown | 36 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 19% |
Researcher | 6 | 16% |
Student > Doctoral Student | 5 | 14% |
Professor > Associate Professor | 5 | 14% |
Student > Bachelor | 4 | 11% |
Other | 7 | 19% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 12 | 32% |
Agricultural and Biological Sciences | 7 | 19% |
Computer Science | 7 | 19% |
Physics and Astronomy | 4 | 11% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Other | 1 | 3% |
Unknown | 3 | 8% |