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X Demographics
Mendeley readers
Chapter title |
Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study
|
---|---|
Chapter number | 3 |
Book title |
Computational Science – ICCS 2019
|
Published by |
Springer, Cham, June 2019
|
DOI | 10.1007/978-3-030-22744-9_3 |
Book ISBNs |
978-3-03-022743-2, 978-3-03-022744-9
|
Authors |
Valentina Giansanti, Mauro Castelli, Stefano Beretta, Ivan Merelli, Giansanti, Valentina, Castelli, Mauro, Beretta, Stefano, Merelli, Ivan |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Czechia | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 18% |
Professor | 1 | 9% |
Researcher | 1 | 9% |
Unknown | 7 | 64% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 27% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Unknown | 7 | 64% |