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X Demographics
Mendeley readers
| Chapter title |
Storing Twitter Data
|
|---|---|
| Chapter number | 3 |
| Book title |
Twitter Data Analytics
|
| Published by |
Springer New York, February 2016
|
| DOI | 10.1007/978-1-4614-9372-3_3 |
| Book ISBNs |
978-1-4614-9371-6, 978-1-4614-9372-3
|
| Authors |
Shamanth Kumar, Fred Morstatter, Huan Liu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 50% |
| Researcher | 1 | 25% |
| Student > Ph. D. Student | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 50% |
| Computer Science | 1 | 25% |
| Business, Management and Accounting | 1 | 25% |