You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Title |
Models to Code
|
---|---|
Published by |
Apress, January 2017
|
DOI | 10.1007/978-1-4842-2217-1 |
ISBNs |
978-1-4842-2216-4, 978-1-4842-2217-1
|
Authors |
Leon Starr, Andrew Mangogna, Stephen Mellor, Starr, Leon, Mangogna, Andrew, Mellor, Stephen |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 4 | 25% |
Student > Ph. D. Student | 3 | 19% |
Researcher | 3 | 19% |
Student > Bachelor | 2 | 13% |
Student > Master | 2 | 13% |
Other | 1 | 6% |
Unknown | 1 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 63% |
Physics and Astronomy | 1 | 6% |
Energy | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Materials Science | 1 | 6% |
Other | 1 | 6% |
Unknown | 1 | 6% |