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X Demographics
Mendeley readers
Chapter title |
A Hybrid Machine Learning Approach for Predictive Maintenance in Smart Factories of the Future
|
---|---|
Chapter number | 39 |
Book title |
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0
|
Published by |
Springer, Cham, August 2018
|
DOI | 10.1007/978-3-319-99707-0_39 |
Book ISBNs |
978-3-31-999706-3, 978-3-31-999707-0
|
Authors |
Sangje Cho, Gökan May, Ioannis Tourkogiorgis, Roberto Perez, Oscar Lazaro, Borja de la Maza, Dimitris Kiritsis, Cho, Sangje, May, Gökan, Tourkogiorgis, Ioannis, Perez, Roberto, Lazaro, Oscar, de la Maza, Borja, Kiritsis, Dimitris |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 2 | 25% |
Spain | 2 | 25% |
Greece | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 166 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 20% |
Student > Ph. D. Student | 20 | 12% |
Researcher | 14 | 8% |
Student > Bachelor | 9 | 5% |
Student > Doctoral Student | 9 | 5% |
Other | 15 | 9% |
Unknown | 65 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 40 | 24% |
Computer Science | 28 | 17% |
Business, Management and Accounting | 9 | 5% |
Economics, Econometrics and Finance | 5 | 3% |
Mathematics | 4 | 2% |
Other | 10 | 6% |
Unknown | 70 | 42% |