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Mendeley readers
Chapter title |
Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions
|
---|---|
Chapter number | 8 |
Book title |
Computational Intelligence Methods for Bioinformatics and Biostatistics
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-030-14160-8_8 |
Book ISBNs |
978-3-03-014159-2, 978-3-03-014160-8
|
Authors |
Marco Notaro, Max Schubach, Marco Frasca, Marco Mesiti, Peter N. Robinson, Giorgio Valentini, Notaro, Marco, Schubach, Max, Frasca, Marco, Mesiti, Marco, Robinson, Peter N., Valentini, Giorgio |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Student > Doctoral Student | 1 | 10% |
Professor | 1 | 10% |
Student > Master | 1 | 10% |
Researcher | 1 | 10% |
Other | 2 | 20% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 50% |
Biochemistry, Genetics and Molecular Biology | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 2 | 20% |