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Mendeley readers
Chapter title |
Sentiment Analysis for Fake News Detection by Means of Neural Networks
|
---|---|
Chapter number | 49 |
Book title |
Computational Science – ICCS 2020
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-50423-6_49 |
Book ISBNs |
978-3-03-050422-9, 978-3-03-050423-6
|
Authors |
Sebastian Kula, Michał Choraś, Rafał Kozik, Paweł Ksieniewicz, Michał Woźniak, Kula, Sebastian, Choraś, Michał, Kozik, Rafał, Ksieniewicz, Paweł, Woźniak, Michał |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 122 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 12% |
Student > Ph. D. Student | 10 | 8% |
Student > Bachelor | 10 | 8% |
Lecturer | 7 | 6% |
Researcher | 5 | 4% |
Other | 17 | 14% |
Unknown | 58 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 35% |
Social Sciences | 7 | 6% |
Engineering | 4 | 3% |
Business, Management and Accounting | 3 | 2% |
Psychology | 3 | 2% |
Other | 4 | 3% |
Unknown | 58 | 48% |