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Mendeley readers
Chapter title |
A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel
|
---|---|
Chapter number | 10 |
Book title |
E-Commerce and Web Technologies
|
Published by |
Springer International Publishing, January 2014
|
DOI | 10.1007/978-3-319-10491-1_10 |
Book ISBNs |
978-3-31-910490-4, 978-3-31-910491-1
|
Authors |
Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Eugenio Di Sciascio |
Editors |
Martin Hepp, Yigal Hoffner |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 33% |
Student > Ph. D. Student | 10 | 28% |
Student > Doctoral Student | 2 | 6% |
Librarian | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 3 | 8% |
Unknown | 6 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 61% |
Engineering | 4 | 11% |
Business, Management and Accounting | 1 | 3% |
Social Sciences | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 19% |