You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
| Title |
High-Performance Scientific Computing
|
|---|---|
| Published by |
Springer International Publishing, March 2017
|
| DOI | 10.1007/978-3-319-53862-4 |
| ISBNs |
978-3-31-953861-7, 978-3-31-953862-4
|
| Editors |
Di Napoli, Edoardo, Hermanns, Marc-André, Iliev, Hristo, Lintermann, Andreas, Peyser, Alexander |
Twitter Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 5% |
| Researcher | 1 | 2% |
| Unknown | 53 | 93% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 5% |
| Computer Science | 1 | 2% |
| Unknown | 53 | 93% |