You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Feasibility of Machine Learning in Predicting Features Related to Congenital Nystagmus
|
---|---|
Chapter number | 110 |
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_110 |
Book ISBNs |
978-3-03-031634-1, 978-3-03-031635-8
|
Authors |
Giovanni D’Addio, Carlo Ricciardi, Giovanni Improta, Paolo Bifulco, Mario Cesarelli, D’Addio, Giovanni, Ricciardi, Carlo, Improta, Giovanni, Bifulco, Paolo, Cesarelli, Mario |
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 % |
---|---|---|
Researcher | 2 | 18% |
Other | 1 | 9% |
Student > Postgraduate | 1 | 9% |
Student > Master | 1 | 9% |
Unknown | 6 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 18% |
Nursing and Health Professions | 1 | 9% |
Psychology | 1 | 9% |
Computer Science | 1 | 9% |
Unknown | 6 | 55% |