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X Demographics
Mendeley readers
Title |
Editorial: Heterogeneous Computing for AI and Big Data in High Energy Physics
|
---|---|
Published in |
Frontiers in Big Data, July 2021
|
DOI | 10.3389/fdata.2021.652881 |
Pubmed ID | |
Authors |
Daniele D’Agostino, Daniele Cesini |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 1 | 50% |
Unknown | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 50% |
Unknown | 1 | 50% |