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Twitter Demographics
Mendeley readers
| Title |
Generative and Transformational Techniques in Software Engineering
|
|---|---|
| Published by |
Springer Science & Business Media, September 2006
|
| DOI | 10.1007/11877028 |
| ISBNs |
978-3-54-045778-7, 978-3-54-046235-4
|
| Editors |
Lämmel, Ralf, Saraiva, João, Visser, Joost |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Portugal | 1 | 4% |
| France | 1 | 4% |
| China | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 22 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 30% |
| Student > Bachelor | 3 | 11% |
| Researcher | 3 | 11% |
| Unspecified | 3 | 11% |
| Professor > Associate Professor | 3 | 11% |
| Other | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 67% |
| Unspecified | 3 | 11% |
| Engineering | 3 | 11% |
| Agricultural and Biological Sciences | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 1 | 4% |