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Mendeley readers
| Chapter title |
Improving Architecture-Based Self-Adaptation through Resource Prediction
|
|---|---|
| Chapter number | 4 |
| Book title |
Software Engineering for Self-Adaptive Systems
|
| Published in |
Lecture notes in computer science, January 2009
|
| DOI | 10.1007/978-3-642-02161-9_4 |
| Book ISBNs |
978-3-64-202160-2, 978-3-64-202161-9
|
| Authors |
Shang-Wen Cheng, Vahe V. Poladian, David Garlan, Bradley Schmerl, Cheng, Shang-Wen, Poladian, Vahe V., Garlan, David, Schmerl, Bradley |
| Editors |
Betty H. C. Cheng, Rogério de Lemos, Holger Giese, Paola Inverardi, Jeff Magee |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 6% |
| Germany | 2 | 4% |
| United Kingdom | 2 | 4% |
| Netherlands | 2 | 4% |
| France | 1 | 2% |
| Sweden | 1 | 2% |
| Portugal | 1 | 2% |
| Romania | 1 | 2% |
| Spain | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 31 | 66% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 32% |
| Researcher | 14 | 30% |
| Student > Master | 10 | 21% |
| Student > Doctoral Student | 2 | 4% |
| Other | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 81% |
| Engineering | 5 | 11% |
| Agricultural and Biological Sciences | 1 | 2% |
| Environmental Science | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |