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Mendeley readers
Chapter title |
Classifying Written Texts Through Rhythmic Features
|
---|---|
Chapter number | 12 |
Book title |
Artificial Intelligence: Methodology, Systems, and Applications
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-44748-3_12 |
Book ISBNs |
978-3-31-944747-6, 978-3-31-944748-3
|
Authors |
Mihaela Balint, Mihai Dascalu, Stefan Trausan-Matu |
Editors |
Christo Dichev, Gennady Agre |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Romania | 1 | 7% |
Unknown | 14 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 33% |
Student > Ph. D. Student | 4 | 27% |
Professor | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Other | 1 | 7% |
Other | 1 | 7% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 53% |
Engineering | 2 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Linguistics | 1 | 7% |
Arts and Humanities | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 13% |