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Mendeley readers
Chapter title |
A Hybrid Dasymetric and Machine Learning Approach to High-Resolution Residential Electricity Consumption Modeling
|
---|---|
Chapter number | 5 |
Book title |
Advances in Geocomputation
|
Published by |
Springer International Publishing, January 2017
|
DOI | 10.1007/978-3-319-22786-3_5 |
Book ISBNs |
978-3-31-922785-6, 978-3-31-922786-3
|
Authors |
April Morton, Nicholas Nagle, Jesse Piburn, Robert N. Stewart, Ryan McManamay |
Editors |
Daniel A. Griffith, Yongwan Chun, Denis J. Dean |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 27% |
Student > Ph. D. Student | 3 | 20% |
Other | 2 | 13% |
Student > Bachelor | 1 | 7% |
Lecturer | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 3 | 20% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
Mathematics | 1 | 7% |
Chemical Engineering | 1 | 7% |
Psychology | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 40% |