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Mendeley readers
Chapter title |
Use of a Big Data Mining Technique to Extract Relative Importance of Performance Shaping Factors from Event Investigation Reports
|
---|---|
Chapter number | 23 |
Book title |
Advances in Human Error, Reliability, Resilience, and Performance
|
Published in |
Advances in Intelligent Systems and Computing, June 2017
|
DOI | 10.1007/978-3-319-60645-3_23 |
Book ISBNs |
978-3-31-960644-6, 978-3-31-960645-3
|
Authors |
Jinkyun Park, Yochan Kim, Wondea Jung |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 18% |
Student > Master | 3 | 14% |
Student > Doctoral Student | 2 | 9% |
Other | 2 | 9% |
Researcher | 2 | 9% |
Other | 1 | 5% |
Unknown | 8 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 36% |
Computer Science | 3 | 14% |
Mathematics | 1 | 5% |
Unknown | 10 | 45% |