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Twitter Demographics
Mendeley readers
| Title |
Clean C++
|
|---|---|
| Published by |
Apress, September 2017
|
| DOI | 10.1007/978-1-4842-2793-0 |
| ISBNs |
978-1-4842-2792-3, 978-1-4842-2793-0
|
| Authors |
Roth, Stephan |
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 | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 23% |
| Student > Ph. D. Student | 7 | 23% |
| Researcher | 5 | 16% |
| Professor > Associate Professor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 61% |
| Engineering | 4 | 13% |
| Design | 1 | 3% |
| Unknown | 7 | 23% |