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X Demographics
Mendeley readers
Chapter title |
Gender Classification of Twitter Data Based on Textual Meta-Attributes Extraction
|
---|---|
Chapter number | 97 |
Book title |
New Advances in Information Systems and Technologies
|
Published by |
Springer International Publishing, March 2016
|
DOI | 10.1007/978-3-319-31232-3_97 |
Book ISBNs |
978-3-31-931231-6, 978-3-31-931232-3
|
Authors |
José Ahirton Batista Lopes Filho, Rodrigo Pasti, Leandro Nunes de Castro |
Editors |
Álvaro Rocha, Ana Maria Correia, Hojjat Adeli, Luis Paulo Reis, Marcelo Mendonça Teixeira |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 4% |
Unknown | 25 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 27% |
Researcher | 6 | 23% |
Lecturer | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Professor | 1 | 4% |
Other | 5 | 19% |
Unknown | 5 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 46% |
Medicine and Dentistry | 2 | 8% |
Social Sciences | 2 | 8% |
Economics, Econometrics and Finance | 1 | 4% |
Arts and Humanities | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 27% |