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X Demographics
Mendeley readers
| Title |
Maintaining intellectual diversity in data science
|
|---|---|
| Published in |
Data Science, December 2017
|
| DOI | 10.3233/ds-170003 |
| Authors |
Richard P. Mann, Olivia Woolley-Meza |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Chile | 1 | 9% |
| United States | 1 | 9% |
| Italy | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 40% |
| Student > Ph. D. Student | 1 | 20% |
| Other | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 40% |
| Physics and Astronomy | 1 | 20% |
| Social Sciences | 1 | 20% |
| Unknown | 1 | 20% |