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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 |
Twitter Demographics
The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 25% |
Netherlands | 2 | 17% |
Chile | 1 | 8% |
Italy | 1 | 8% |
United States | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 4 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 50% |
Other | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 1 | 50% |
Social Sciences | 1 | 50% |