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Mendeley readers
Chapter title |
Detecting Inconsistencies in Large First-Order Knowledge Bases
|
---|---|
Chapter number | 19 |
Book title |
Automated Deduction – CADE 26
|
Published by |
Springer, Cham, August 2017
|
DOI | 10.1007/978-3-319-63046-5_19 |
Book ISBNs |
978-3-31-963045-8, 978-3-31-963046-5
|
Authors |
Stephan Schulz, Geoff Sutcliffe, Josef Urban, Adam Pease |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 20% |
Student > Bachelor | 1 | 20% |
Student > Doctoral Student | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 60% |
Engineering | 1 | 20% |
Unknown | 1 | 20% |