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 |
Predicting Financial Well-Being Using Observable Features and Gradient Boosting
|
---|---|
Chapter number | 19 |
Book title |
AI 2019: Advances in Artificial Intelligence
|
Published by |
Springer, Cham, November 2019
|
DOI | 10.1007/978-3-030-35288-2_19 |
Book ISBNs |
978-3-03-035287-5, 978-3-03-035288-2
|
Authors |
Iqbal Madakkatel, Belinda Chiera, Mark D. McDonnell, Madakkatel, Iqbal, Chiera, Belinda, McDonnell, Mark D. |
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 % |
---|---|---|
Professor > Associate Professor | 2 | 14% |
Other | 1 | 7% |
Professor | 1 | 7% |
Lecturer | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 7 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 3 | 21% |
Business, Management and Accounting | 2 | 14% |
Computer Science | 1 | 7% |
Linguistics | 1 | 7% |
Unknown | 7 | 50% |