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X Demographics
Mendeley readers
| Title |
Autotuning of Exascale Applications With Anomalies Detection
|
|---|---|
| Published in |
Frontiers in Big Data, November 2021
|
| DOI | 10.3389/fdata.2021.657218 |
| Pubmed ID | |
| Authors |
Dragi Kimovski, Roland Mathá, Gabriel Iuhasz, Fabrizio Marozzo, Dana Petcu, Radu Prodan |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 33% |
| Unknown | 2 | 67% |