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Mendeley readers
Chapter title |
Health Assessment of Automotive Batteries Through Computational Intelligence-Based Soft Sensors: An Empirical Study
|
---|---|
Chapter number | 5 |
Book title |
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-67180-2_5 |
Book ISBNs |
978-3-31-967179-6, 978-3-31-967180-2
|
Authors |
Eva Almansa, David Anseán, Inés Couso, Luciano Sánchez, Almansa, Eva, Anseán, David, Couso, Inés, Sánchez, Luciano |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 20% |
Professor > Associate Professor | 3 | 15% |
Student > Master | 3 | 15% |
Professor | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Other | 4 | 20% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 30% |
Engineering | 6 | 30% |
Energy | 1 | 5% |
Physics and Astronomy | 1 | 5% |
Unknown | 6 | 30% |