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X Demographics
Mendeley readers
Title |
Multivariate Modelling of Non-Stationary Economic Time Series
|
---|---|
Published by |
Palgrave Macmillan UK, January 2017
|
DOI | 10.1057/978-1-137-31303-4 |
ISBNs |
978-1-137-31303-4, 978-0-230-24330-9, 978-0-230-24331-6
|
Authors |
John Hunter, Simon Burke, Alessandra Canepa, Simon P. Burke, Hunter, John, Burke, Simon P., Canepa, Alessandra |
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 % |
---|---|---|
Indonesia | 1 | 33% |
Netherlands | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 35% |
Student > Ph. D. Student | 7 | 19% |
Researcher | 4 | 11% |
Lecturer | 1 | 3% |
Unspecified | 1 | 3% |
Other | 2 | 5% |
Unknown | 9 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 9 | 24% |
Engineering | 4 | 11% |
Computer Science | 4 | 11% |
Business, Management and Accounting | 3 | 8% |
Mathematics | 2 | 5% |
Other | 6 | 16% |
Unknown | 9 | 24% |