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Mendeley readers
Chapter title |
Efficacy of Machine Learning in Predicting the Kind of Delivery by Cardiotocography
|
---|---|
Chapter number | 95 |
Book title |
XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-31635-8_95 |
Book ISBNs |
978-3-03-031634-1, 978-3-03-031635-8
|
Authors |
Giovanni Improta, Carlo Ricciardi, Francesco Amato, Giovanni D’Addio, Mario Cesarelli, Maria Romano, Improta, Giovanni, Ricciardi, Carlo, Amato, Francesco, D’Addio, Giovanni, Cesarelli, Mario, Romano, Maria |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 14% |
Researcher | 3 | 14% |
Lecturer | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Other | 2 | 10% |
Unknown | 7 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 33% |
Nursing and Health Professions | 2 | 10% |
Engineering | 2 | 10% |
Agricultural and Biological Sciences | 1 | 5% |
Unknown | 9 | 43% |