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Mendeley readers
Title |
Big Data in Computational Social Science and Humanities
|
---|---|
Published by |
Springer International Publishing, November 2018
|
DOI | 10.1007/978-3-319-95465-3 |
ISBNs |
978-3-31-995464-6, 978-3-31-995465-3
|
Editors |
Chen, Shu-Heng |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 35% |
Student > Doctoral Student | 3 | 13% |
Student > Bachelor | 2 | 9% |
Researcher | 2 | 9% |
Student > Master | 2 | 9% |
Other | 4 | 17% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 6 | 26% |
Business, Management and Accounting | 3 | 13% |
Computer Science | 3 | 13% |
Psychology | 3 | 13% |
Environmental Science | 1 | 4% |
Other | 4 | 17% |
Unknown | 3 | 13% |