Title |
SEMERGY.net: automatically identifying and optimizing energy-efficient building designs
|
---|---|
Published in |
SICS Software-Intensive Cyber-Physical Systems, November 2014
|
DOI | 10.1007/s00450-014-0285-5 |
Authors |
Stefan Fenz, Johannes Heurix, Thomas Neubauer, A. Min Tjoa, Neda Ghiassi, Ulrich Pont, Ardeshir Mahdavi |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 33% |
Student > Master | 4 | 22% |
Student > Doctoral Student | 2 | 11% |
Unspecified | 1 | 6% |
Lecturer > Senior Lecturer | 1 | 6% |
Other | 2 | 11% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 39% |
Computer Science | 3 | 17% |
Unspecified | 1 | 6% |
Environmental Science | 1 | 6% |
Arts and Humanities | 1 | 6% |
Other | 3 | 17% |
Unknown | 2 | 11% |