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X Demographics
Mendeley readers
| Chapter title |
Towards a Big Data Analytics Framework for IoT and Smart City Applications
|
|---|---|
| Chapter number | 11 |
| Book title |
Modeling and Processing for Next-Generation Big-Data Technologies
|
| Published by |
Springer International Publishing, January 2014
|
| DOI | 10.1007/978-3-319-09177-8_11 |
| Book ISBNs |
978-3-31-909176-1, 978-3-31-909177-8
|
| Authors |
Martin Strohbach, Holger Ziekow, Vangelis Gazis, Navot Akiva |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Mexico | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | <1% |
| Unknown | 208 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 44 | 21% |
| Student > Ph. D. Student | 39 | 19% |
| Researcher | 18 | 9% |
| Student > Bachelor | 17 | 8% |
| Student > Doctoral Student | 12 | 6% |
| Other | 33 | 16% |
| Unknown | 46 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 89 | 43% |
| Engineering | 27 | 13% |
| Business, Management and Accounting | 15 | 7% |
| Social Sciences | 6 | 3% |
| Mathematics | 3 | 1% |
| Other | 18 | 9% |
| Unknown | 51 | 24% |