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 |
Machine Learning for Software Analysis: Models, Methods, and Applications
|
|---|---|
| Chapter number | 1 |
| Book title |
Machine Learning for Dynamic Software Analysis: Potentials and Limits
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-96562-8_1 |
| Book ISBNs |
978-3-31-996561-1, 978-3-31-996562-8
|
| Authors |
Amel Bennaceur, Karl Meinke, Bennaceur, Amel, Meinke, Karl |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Student > Master | 5 | 14% |
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 59% |
| Engineering | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Chemistry | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 27% |