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Mendeley readers
Chapter title |
Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study
|
---|---|
Chapter number | 43 |
Book title |
Biomedical and Computational Biology
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-25191-7_43 |
Book ISBNs |
978-3-03-125190-0, 978-3-03-125191-7
|
Authors |
Santalucia, Ida, Marino, Marta Rosaria, Majolo, Massimo, Raiola, Eliana, Russo, Giuseppe, Longo, Giuseppe, Basso, Morena Anna, Balato, Giovanni, Lombardi, Andrea, Borrelli, Anna, Triassi, Maria |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 29% |
Student > Bachelor | 1 | 14% |
Lecturer | 1 | 14% |
Researcher | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Nursing and Health Professions | 1 | 14% |
Sports and Recreations | 1 | 14% |
Unknown | 2 | 29% |