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X Demographics
Mendeley readers
Title |
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
|
---|---|
Published in |
Frontiers in Big Data, July 2019
|
DOI | 10.3389/fdata.2019.00013 |
Pubmed ID | |
Authors |
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kıcıman |
X Demographics
The data shown below were collected from the profiles of 97 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 25 | 26% |
United Kingdom | 5 | 5% |
Spain | 4 | 4% |
Chile | 4 | 4% |
Germany | 3 | 3% |
Netherlands | 3 | 3% |
Switzerland | 3 | 3% |
Turkey | 2 | 2% |
India | 2 | 2% |
Other | 11 | 11% |
Unknown | 35 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 50 | 52% |
Members of the public | 43 | 44% |
Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 550 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Unknown | 549 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 109 | 20% |
Student > Master | 71 | 13% |
Student > Bachelor | 63 | 11% |
Researcher | 55 | 10% |
Student > Doctoral Student | 29 | 5% |
Other | 65 | 12% |
Unknown | 158 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 131 | 24% |
Social Sciences | 77 | 14% |
Business, Management and Accounting | 24 | 4% |
Psychology | 19 | 3% |
Engineering | 19 | 3% |
Other | 99 | 18% |
Unknown | 181 | 33% |