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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% |