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X Demographics
Mendeley readers
Title |
Prediction and Inference from Social Networks and Social Media
|
---|---|
Published by |
Springer International Publishing, January 2017
|
DOI | 10.1007/978-3-319-51049-1 |
ISBNs |
978-3-31-951048-4, 978-3-31-951049-1
|
Editors |
Jalal Kawash, Nitin Agarwal, Tansel Özyer |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
Japan | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 18% |
Student > Master | 5 | 15% |
Student > Bachelor | 4 | 12% |
Other | 3 | 9% |
Researcher | 3 | 9% |
Other | 6 | 18% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 39% |
Social Sciences | 3 | 9% |
Linguistics | 2 | 6% |
Business, Management and Accounting | 2 | 6% |
Economics, Econometrics and Finance | 2 | 6% |
Other | 3 | 9% |
Unknown | 8 | 24% |