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Mendeley readers
Chapter title |
$$\mathsf {SAFE}$$ : Similarity-Aware Multi-modal Fake News Detection
|
---|---|
Chapter number | 27 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47436-2_27 |
Book ISBNs |
978-3-03-047435-5, 978-3-03-047436-2
|
Authors |
Xinyi Zhou, Jindi Wu, Reza Zafarani, Zhou, Xinyi, Wu, Jindi, Zafarani, Reza |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 182 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 27 | 15% |
Student > Ph. D. Student | 25 | 14% |
Student > Bachelor | 14 | 8% |
Researcher | 12 | 7% |
Lecturer | 6 | 3% |
Other | 14 | 8% |
Unknown | 84 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 78 | 43% |
Engineering | 4 | 2% |
Social Sciences | 4 | 2% |
Arts and Humanities | 3 | 2% |
Business, Management and Accounting | 1 | <1% |
Other | 0 | 0% |
Unknown | 92 | 51% |