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X Demographics
Mendeley readers
Title |
Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective
|
---|---|
Published in |
Frontiers in Big Data, February 2020
|
DOI | 10.3389/fdata.2020.00005 |
Pubmed ID | |
Authors |
Doris Allhutter, Florian Cech, Fabian Fischer, Gabriel Grill, Astrid Mager |
X Demographics
The data shown below were collected from the profiles of 136 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 | 23 | 17% |
United States | 14 | 10% |
United Kingdom | 11 | 8% |
Germany | 6 | 4% |
France | 4 | 3% |
Spain | 3 | 2% |
Netherlands | 3 | 2% |
Canada | 3 | 2% |
Switzerland | 2 | 1% |
Other | 13 | 10% |
Unknown | 54 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 85 | 63% |
Scientists | 45 | 33% |
Science communicators (journalists, bloggers, editors) | 5 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 13% |
Student > Master | 9 | 13% |
Researcher | 7 | 10% |
Student > Bachelor | 7 | 10% |
Professor > Associate Professor | 4 | 6% |
Other | 10 | 14% |
Unknown | 23 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 18 | 26% |
Computer Science | 5 | 7% |
Arts and Humanities | 4 | 6% |
Business, Management and Accounting | 3 | 4% |
Engineering | 3 | 4% |
Other | 10 | 14% |
Unknown | 26 | 38% |