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 |
Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
|
---|---|
Chapter number | 1 |
Book title |
Advances in Data Mining. Applications and Theoretical Aspects
|
Published by |
Springer, Cham, July 2014
|
DOI | 10.1007/978-3-319-08976-8_1 |
Book ISBNs |
978-3-31-908975-1, 978-3-31-908976-8
|
Authors |
Gürdal Ertek, Bengi Tokdil, İbrahim Günaydın |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 29% |
Student > Bachelor | 3 | 21% |
Lecturer > Senior Lecturer | 2 | 14% |
Student > Doctoral Student | 1 | 7% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 50% |
Engineering | 2 | 14% |
Business, Management and Accounting | 1 | 7% |
Unknown | 4 | 29% |