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 |
Depression Detection from Twitter Data Using Two Level Multi-modal Feature Extraction
|
---|---|
Chapter number | 32 |
Book title |
Data Management, Analytics and Innovation
|
Published by |
Springer, Singapore, January 2023
|
DOI | 10.1007/978-981-19-2600-6_32 |
Book ISBNs |
978-9-81-192599-3, 978-9-81-192600-6
|
Authors |
Samanta, Poulomi, Kumar, Piyush, Dutta, Suchandra, Chatterjee, Moumita, Sarkar, Dhrubasish |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 40% |
Unspecified | 1 | 10% |
Lecturer | 1 | 10% |
Lecturer > Senior Lecturer | 1 | 10% |
Professor | 1 | 10% |
Other | 1 | 10% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 40% |
Nursing and Health Professions | 2 | 20% |
Unspecified | 1 | 10% |
Social Sciences | 1 | 10% |
Unknown | 2 | 20% |