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Mendeley readers
Chapter title |
Big Data and Machine Learning for the Smart Factory—Solutions for Condition Monitoring, Diagnosis and Optimization
|
---|---|
Chapter number | 18 |
Book title |
Industrial Internet of Things
|
Published by |
Springer International Publishing, October 2016
|
DOI | 10.1007/978-3-319-42559-7_18 |
Book ISBNs |
978-3-31-942558-0, 978-3-31-942559-7
|
Authors |
Alexander Maier, Sebastian Schriegel, Oliver Niggemann |
Editors |
Sabina Jeschke, Christian Brecher, Houbing Song, Danda B. Rawat |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 22% |
Student > Ph. D. Student | 5 | 14% |
Student > Bachelor | 4 | 11% |
Researcher | 4 | 11% |
Student > Doctoral Student | 3 | 8% |
Other | 3 | 8% |
Unknown | 9 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 39% |
Engineering | 8 | 22% |
Business, Management and Accounting | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Linguistics | 1 | 3% |
Other | 2 | 6% |
Unknown | 9 | 25% |