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Mendeley readers
| Chapter title |
Predicting Popularity of Open Source Projects Using Recurrent Neural Networks
|
|---|---|
| Chapter number | 8 |
| Book title |
Open Source Systems
|
| Published by |
Springer, Cham, May 2019
|
| DOI | 10.1007/978-3-030-20883-7_8 |
| Book ISBNs |
978-3-03-020882-0, 978-3-03-020883-7
|
| Authors |
Sefa Eren Sahin, Kubilay Karpat, Ayse Tosun, Sahin, Sefa Eren, Karpat, Kubilay, Tosun, Ayse |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Professor | 1 | 10% |
| Student > Master | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 50% |
| Materials Science | 1 | 10% |
| Unknown | 4 | 40% |