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Mendeley readers
| Title |
Computer Performance Engineering
|
|---|---|
| Published by |
Springer International Publishing, September 2017
|
| DOI | 10.1007/978-3-319-66583-2 |
| ISBNs |
978-3-31-966582-5, 978-3-31-966583-2
|
| Editors |
Reinecke, Philipp, Di Marco, Antinisca |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Portugal | 1 | 1% |
| India | 1 | 1% |
| Spain | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 78 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 27% |
| Student > Master | 16 | 19% |
| Researcher | 12 | 14% |
| Student > Bachelor | 11 | 13% |
| Professor | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 49 | 57% |
| Engineering | 9 | 10% |
| Business, Management and Accounting | 2 | 2% |
| Energy | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 13 | 15% |