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Mendeley readers
Chapter title |
A Hierarchical Model to Support Kansei Mining Process
|
---|---|
Chapter number | 10 |
Book title |
Intelligent Data Engineering and Automated Learning — IDEAL 2002
|
Published by |
Springer, Berlin, Heidelberg, August 2002
|
DOI | 10.1007/3-540-45675-9_10 |
Book ISBNs |
978-3-54-044025-3, 978-3-54-045675-9
|
Authors |
Tomofumi Hayashi, Akio Sato, Nadia Berthouze, Hayashi, Tomofumi, Sato, Akio, Berthouze, Nadia |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 33% |
France | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 33% |
Lecturer | 1 | 17% |
Librarian | 1 | 17% |
Student > Master | 1 | 17% |
Student > Ph. D. Student | 1 | 17% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 33% |
Computer Science | 1 | 17% |
Arts and Humanities | 1 | 17% |
Social Sciences | 1 | 17% |
Design | 1 | 17% |
Other | 0 | 0% |