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Mendeley readers
| Chapter title |
Knowledge Extraction from Professional E-mails
|
|---|---|
| Chapter number | 3 |
| Book title |
Artificial Intelligence for Knowledge Management
|
| Published by |
Springer, Cham, September 2014
|
| DOI | 10.1007/978-3-319-28868-0_3 |
| Book ISBNs |
978-3-31-928867-3, 978-3-31-928868-0
|
| Authors |
Nada Matta, Hassan Atifi, François Rauscher |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Professor | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 50% |
| Business, Management and Accounting | 1 | 13% |
| Unknown | 3 | 38% |