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Mendeley readers
Chapter title |
Leveraging Massive User Contributions for Knowledge Extraction
|
---|---|
Chapter number | 16 |
Book title |
Next Generation Data Technologies for Collective Computational Intelligence
|
Published by |
Springer, Berlin, Heidelberg, January 2011
|
DOI | 10.1007/978-3-642-20344-2_16 |
Book ISBNs |
978-3-64-220343-5, 978-3-64-220344-2
|
Authors |
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini Giannakidou, Symeon Papadopoulos, Ioannis Kompatsiaris, Athena Vakali |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 42% |
Student > Ph. D. Student | 2 | 17% |
Student > Master | 2 | 17% |
Professor | 1 | 8% |
Student > Bachelor | 1 | 8% |
Other | 0 | 0% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 75% |
Mathematics | 1 | 8% |
Psychology | 1 | 8% |
Unknown | 1 | 8% |