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X Demographics
Mendeley readers
Chapter title |
Temporal Dependence in Legal Documents
|
---|---|
Chapter number | 60 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2013
|
Published by |
Springer, Berlin, Heidelberg, October 2013
|
DOI | 10.1007/978-3-642-41278-3_60 |
Book ISBNs |
978-3-64-241277-6, 978-3-64-241278-3
|
Authors |
Daniel Isemann, Khurshid Ahmad, Tim Fernando, Carl Vogel, FERNANDO, RAFAEL TIMOTHY, VOGEL, CARL, AHMAD, KHURSHID, Isemann, Daniel, Ahmad, Khurshid, Fernando, Tim, Vogel, Carl |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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 % |
---|---|---|
Lecturer | 2 | 25% |
Student > Master | 2 | 25% |
Student > Doctoral Student | 1 | 13% |
Professor | 1 | 13% |
Unknown | 2 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 75% |
Unknown | 2 | 25% |