Data Science for Economics and Finance
Springer International Publishing
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X Demographics
Mendeley readers
| Title |
Data Science for Economics and Finance
|
|---|---|
| Published by |
Springer International Publishing, January 2021
|
| DOI | 10.1007/978-3-030-66891-4 |
| ISBNs |
978-3-03-066890-7, 978-3-03-066891-4
|
| Editors |
Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana |
X Demographics
The data shown below were collected from the profiles of 187 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 10 | 5% |
| Mexico | 7 | 4% |
| United Kingdom | 4 | 2% |
| India | 3 | 2% |
| United States | 3 | 2% |
| Turkey | 2 | 1% |
| Colombia | 2 | 1% |
| Italy | 2 | 1% |
| Belgium | 1 | <1% |
| Other | 13 | 7% |
| Unknown | 140 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 161 | 86% |
| Scientists | 23 | 12% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 10% |
| Student > Master | 11 | 7% |
| Researcher | 10 | 7% |
| Professor > Associate Professor | 7 | 5% |
| Professor | 7 | 5% |
| Other | 23 | 16% |
| Unknown | 74 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 17 | 12% |
| Economics, Econometrics and Finance | 15 | 10% |
| Computer Science | 6 | 4% |
| Engineering | 5 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 24 | 16% |
| Unknown | 76 | 52% |