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 188 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 15 | 8% |
| Mexico | 12 | 6% |
| Venezuela, Bolivarian Republic of | 6 | 3% |
| United Kingdom | 6 | 3% |
| United States | 5 | 3% |
| Spain | 4 | 2% |
| Italy | 4 | 2% |
| France | 4 | 2% |
| South Africa | 3 | 2% |
| Other | 24 | 13% |
| Unknown | 105 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 162 | 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 9% |
| Unspecified | 10 | 7% |
| Student > Master | 10 | 7% |
| Researcher | 9 | 6% |
| Professor | 8 | 6% |
| Other | 26 | 19% |
| Unknown | 63 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 17 | 12% |
| Economics, Econometrics and Finance | 15 | 11% |
| Unspecified | 9 | 6% |
| Computer Science | 6 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 23 | 17% |
| Unknown | 65 | 47% |