Title |
Geodata in labor market research: trends, potentials and perspectives
|
---|---|
Published in |
Journal for Labour Market Research, June 2022
|
DOI | 10.1186/s12651-022-00310-x |
Authors |
Kerstin Ostermann, Johann Eppelsheimer, Nina Gläser, Peter Haller, Martina Oertel |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 22% |
Unknown | 7 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Researcher | 3 | 30% |
Student > Doctoral Student | 2 | 20% |
Student > Master | 1 | 10% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 3 | 30% |
Environmental Science | 2 | 20% |
Social Sciences | 2 | 20% |
Earth and Planetary Sciences | 2 | 20% |
Philosophy | 1 | 10% |
Other | 0 | 0% |