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X Demographics
Mendeley readers
Chapter title |
Predicting Information Quality Flaws in Wikipedia by Using Classical and Deep Learning Approaches
|
---|---|
Chapter number | 1 |
Book title |
Computer Science – CACIC 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-48325-8_1 |
Book ISBNs |
978-3-03-048324-1, 978-3-03-048325-8
|
Authors |
Gerónimo Bazán Pereyra, Carolina Cuello, Gianfranco Capodici, Vanessa Jofré, Edgardo Ferretti, Rodolfo Bonnin, Marcelo Errecalde, Bazán Pereyra, Gerónimo, Cuello, Carolina, Capodici, Gianfranco, Jofré, Vanessa, Ferretti, Edgardo, Bonnin, Rodolfo, Errecalde, Marcelo |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 25% |
Professor | 1 | 25% |
Student > Master | 1 | 25% |
Unknown | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 50% |
Unspecified | 1 | 25% |
Unknown | 1 | 25% |