New Horizons for a Data-Driven Economy
Springer International Publishing
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Timeline
X Demographics
Mendeley readers
| Title |
New Horizons for a Data-Driven Economy
|
|---|---|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-21569-3 |
| ISBNs |
978-3-31-921568-6, 978-3-31-921569-3
|
| Editors |
José María Cavanillas, Edward Curry, Wolfgang Wahlster |
X Demographics
The data shown below were collected from the profiles of 107 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 % |
|---|---|---|
| United Kingdom | 9 | 8% |
| United States | 9 | 8% |
| Ireland | 7 | 7% |
| Switzerland | 6 | 6% |
| France | 5 | 5% |
| Spain | 5 | 5% |
| India | 4 | 4% |
| Germany | 4 | 4% |
| Belgium | 2 | 2% |
| Other | 21 | 20% |
| Unknown | 35 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 85 | 79% |
| Scientists | 16 | 15% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 619 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 2 | <1% |
| Ireland | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 615 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 93 | 15% |
| Student > Ph. D. Student | 68 | 11% |
| Student > Bachelor | 54 | 9% |
| Researcher | 37 | 6% |
| Student > Postgraduate | 29 | 5% |
| Other | 89 | 14% |
| Unknown | 249 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 112 | 18% |
| Business, Management and Accounting | 69 | 11% |
| Engineering | 42 | 7% |
| Social Sciences | 37 | 6% |
| Economics, Econometrics and Finance | 25 | 4% |
| Other | 66 | 11% |
| Unknown | 268 | 43% |