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X Demographics
Mendeley readers
Chapter title |
Predictive Analysis on Twitter: Techniques and Applications
|
---|---|
Chapter number | 4 |
Book title |
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-319-94105-9_4 |
Book ISBNs |
978-3-31-994104-2, 978-3-31-994105-9
|
Authors |
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar, Kursuncu, Ugur, Gaur, Manas, Lokala, Usha, Thirunarayan, Krishnaprasad, Sheth, Amit, Arpinar, I. Budak |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
Bulgaria | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 178 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 18% |
Student > Master | 29 | 16% |
Researcher | 11 | 6% |
Student > Doctoral Student | 8 | 4% |
Student > Bachelor | 8 | 4% |
Other | 24 | 13% |
Unknown | 66 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 64 | 36% |
Business, Management and Accounting | 10 | 6% |
Engineering | 10 | 6% |
Economics, Econometrics and Finance | 5 | 3% |
Psychology | 5 | 3% |
Other | 14 | 8% |
Unknown | 70 | 39% |