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Twitter Demographics
Mendeley readers
| Title |
High Performance Computing
|
|---|---|
| Published by |
Springer International Publishing, January 2019
|
| DOI | 10.1007/978-3-030-34356-9 |
| ISBNs |
978-3-03-034355-2, 978-3-03-034356-9
|
| Editors |
Michèle Weiland, Guido Juckeland, Sadaf Alam, Heike Jagode |
Twitter Demographics
The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 25% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 25% |
| Other | 2 | 17% |
| Lecturer | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 3 | 25% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 50% |
| Physics and Astronomy | 1 | 8% |
| Social Sciences | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 3 | 25% |