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Mendeley readers
Chapter title |
Discovering Technology Intelligence from Document Data in an Organisation
|
---|---|
Chapter number | 39 |
Book title |
EKC2008 Proceedings of the EU-Korea Conference on Science and Technology
|
Published by |
Springer, Berlin, Heidelberg, January 2008
|
DOI | 10.1007/978-3-540-85190-5_39 |
Book ISBNs |
978-3-54-085189-9, 978-3-54-085190-5
|
Authors |
Sungjoo Lee, Letizia Mortara, Clive Kerr, Robert Phaal, David Probert, Lee, Sungjoo, Mortara, Letizia, Kerr, Clive, Phaal, Robert, Probert, David |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 27% |
Other | 2 | 18% |
Student > Master | 2 | 18% |
Student > Ph. D. Student | 2 | 18% |
Student > Bachelor | 1 | 9% |
Other | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 4 | 36% |
Engineering | 3 | 27% |
Social Sciences | 1 | 9% |
Unknown | 3 | 27% |