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Mendeley readers
Chapter title |
Exploiting Online Newspaper Articles Metadata for Profiling City Areas
|
---|---|
Chapter number | 22 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-33617-2_22 |
Book ISBNs |
978-3-03-033616-5, 978-3-03-033617-2
|
Authors |
Livio Cascone, Pietro Ducange, Francesco Marcelloni, Cascone, Livio, Ducange, Pietro, Marcelloni, Francesco |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 22% |
Student > Ph. D. Student | 1 | 11% |
Professor > Associate Professor | 1 | 11% |
Student > Master | 1 | 11% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 22% |
Business, Management and Accounting | 1 | 11% |
Design | 1 | 11% |
Unknown | 5 | 56% |