Data Science and Big Data Computing
Springer International Publishing
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Timeline
X Demographics
Mendeley readers
| Title |
Data Science and Big Data Computing
|
|---|---|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-31861-5 |
| ISBNs |
978-3-31-931859-2, 978-3-31-931861-5
|
| Editors |
Zaigham Mahmood |
X Demographics
The data shown below were collected from the profiles of 4 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 % |
|---|---|---|
| Mexico | 1 | 25% |
| Spain | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Student > Ph. D. Student | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Researcher | 3 | 4% |
| Lecturer | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 35 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 20% |
| Engineering | 7 | 10% |
| Social Sciences | 4 | 6% |
| Business, Management and Accounting | 3 | 4% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 39 | 56% |