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X Demographics
Mendeley readers
| Title |
Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
|
|---|---|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-31822-6 |
| ISBNs |
978-3-31-931820-2, 978-3-31-931822-6
|
| Authors |
Bee Dagum, Estela, Bianconcini, Silvia, Estela Bee Dagum, Silvia Bianconcini |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 34% |
| Student > Ph. D. Student | 9 | 26% |
| Student > Bachelor | 5 | 14% |
| Lecturer | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 23% |
| Economics, Econometrics and Finance | 6 | 17% |
| Engineering | 5 | 14% |
| Medicine and Dentistry | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 11 | 31% |
| Unknown | 1 | 3% |