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X Demographics
Mendeley readers
| Title |
Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, June 2021
|
| DOI | 10.3389/frai.2021.664737 |
| Pubmed ID | |
| Authors |
Prashanth Rao, Maite Taboada |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 5 | 26% |
| United Kingdom | 3 | 16% |
| Germany | 2 | 11% |
| United States | 1 | 5% |
| France | 1 | 5% |
| Spain | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 58% |
| Scientists | 8 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Lecturer | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 36 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 10% |
| Computer Science | 7 | 10% |
| Business, Management and Accounting | 4 | 6% |
| Linguistics | 4 | 6% |
| Arts and Humanities | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 38 | 54% |