You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Controlled Natural Language for Tax Fraud Detection
|
---|---|
Chapter number | 1 |
Book title |
Controlled Natural Language
|
Published in |
Lecture notes in computer science, July 2016
|
DOI | 10.1007/978-3-319-41498-0_1 |
Book ISBNs |
978-3-31-941497-3, 978-3-31-941498-0
|
Authors |
Aaron Calafato, Christian Colombo, Gordon J. Pace |
Editors |
Brian Davis, Gordon J. Pace, Adam Wyner |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 19% |
Professor | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Student > Bachelor | 1 | 6% |
Lecturer > Senior Lecturer | 1 | 6% |
Other | 4 | 25% |
Unknown | 4 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 19% |
Engineering | 2 | 13% |
Business, Management and Accounting | 2 | 13% |
Unspecified | 1 | 6% |
Mathematics | 1 | 6% |
Other | 2 | 13% |
Unknown | 5 | 31% |