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X Demographics
Mendeley readers
| Title |
Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models
|
|---|---|
| Published in |
Frontiers in Big Data, January 2021
|
| DOI | 10.3389/fdata.2020.519957 |
| Pubmed ID | |
| Authors |
Nikolaus Poechhacker, Severin Kacianka |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 3 | 43% |
| Switzerland | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Student > Bachelor | 2 | 12% |
| Unspecified | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 12% |
| Computer Science | 2 | 12% |
| Mathematics | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 7 | 41% |