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X Demographics
Mendeley readers
| Title |
Artificial Intelligence for Knowledge Management
|
|---|---|
| Published by |
Springer-Verlag Berlin Heidelberg, January 2014
|
| DOI | 10.1007/978-3-642-54897-0 |
| ISBNs |
978-3-64-254896-3, 978-3-64-254897-0
|
| Editors |
Eunika Mercier-Laurent, Danielle Boulanger |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 35% |
| Student > Doctoral Student | 8 | 24% |
| Professor > Associate Professor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 41% |
| Engineering | 6 | 18% |
| Business, Management and Accounting | 4 | 12% |
| Social Sciences | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 4 | 12% |