You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
False Information Detection on Social Media via a Hybrid Deep Model
|
---|---|
Chapter number | 31 |
Book title |
Social Informatics
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01159-8_31 |
Book ISBNs |
978-3-03-001158-1, 978-3-03-001159-8
|
Authors |
Lianwei Wu, Yuan Rao, Hualei Yu, Yiming Wang, Ambreen Nazir, Wu, Lianwei, Rao, Yuan, Yu, Hualei, Wang, Yiming, Nazir, Ambreen |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 18% |
Student > Doctoral Student | 3 | 9% |
Researcher | 3 | 9% |
Unspecified | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 3 | 9% |
Unknown | 15 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 26% |
Unspecified | 2 | 6% |
Social Sciences | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 19 | 56% |