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Twitter Demographics
Mendeley readers
Chapter title |
The Impact of Addiction to Twitter among University Students
|
---|---|
Chapter number | 35 |
Book title |
Future Information Technology
|
Published by |
Springer Berlin Heidelberg, January 2016
|
DOI | 10.1007/978-3-642-40861-8_35 |
Book ISBNs |
978-3-64-240860-1, 978-3-64-240861-8
|
Authors |
Shahnil Asmar Saaid, Nalisa Alia Amin Al-Rashid, Zaridah Abdullah |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters 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 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 7% |
Unknown | 14 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 27% |
Student > Ph. D. Student | 2 | 13% |
Student > Master | 2 | 13% |
Professor | 1 | 7% |
Unspecified | 1 | 7% |
Other | 2 | 13% |
Unknown | 3 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 3 | 20% |
Psychology | 3 | 20% |
Unspecified | 1 | 7% |
Arts and Humanities | 1 | 7% |
Linguistics | 1 | 7% |
Other | 3 | 20% |
Unknown | 3 | 20% |