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Mendeley readers
Chapter title |
Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features
|
---|---|
Chapter number | 23 |
Book title |
Artificial Intelligence in Medicine
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-59758-4_23 |
Book ISBNs |
978-3-31-959757-7, 978-3-31-959758-4
|
Authors |
Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn Schuller, Cummins, Nicholas, Vlasenko, Bogdan, Sagha, Hesam, Schuller, Björn |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 23% |
Researcher | 4 | 11% |
Student > Bachelor | 3 | 9% |
Professor | 2 | 6% |
Student > Master | 2 | 6% |
Other | 4 | 11% |
Unknown | 12 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 23% |
Engineering | 6 | 17% |
Psychology | 2 | 6% |
Linguistics | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 5 | 14% |
Unknown | 12 | 34% |