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X Demographics
Mendeley readers
Chapter title |
Automatic Categorization of Tweets on the Political Electoral Theme Using Supervised Classification Algorithms
|
---|---|
Chapter number | 51 |
Book title |
Technology Trends
|
Published by |
Springer, Cham, December 2018
|
DOI | 10.1007/978-3-030-05532-5_51 |
Book ISBNs |
978-3-03-005531-8, 978-3-03-005532-5
|
Authors |
Oscar M. Cumbicus-Pineda, Pablo F. Ordoñez-Ordoñez, Lisset A. Neyra-Romero, Roberth Figueroa-Diaz |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ecuador | 6 | 75% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 2 | 15% |
Other | 1 | 8% |
Lecturer | 1 | 8% |
Librarian | 1 | 8% |
Professor | 1 | 8% |
Other | 3 | 23% |
Unknown | 4 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 62% |
Business, Management and Accounting | 1 | 8% |
Unknown | 4 | 31% |