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Twitter Demographics
Mendeley readers
Title |
Rethinking the Internet of Things
|
---|---|
Published by |
Apress, January 2013
|
DOI | 10.1007/978-1-4302-5741-7 |
ISBNs |
978-1-4302-5740-0, 978-1-4302-5741-7
|
Authors |
daCosta, Francis, Henderson, Byron |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 1% |
France | 1 | 1% |
Kenya | 1 | 1% |
Sweden | 1 | 1% |
Ukraine | 1 | 1% |
Denmark | 1 | 1% |
Venezuela, Bolivarian Republic of | 1 | 1% |
Unknown | 89 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 23% |
Student > Bachelor | 17 | 18% |
Researcher | 13 | 14% |
Student > Ph. D. Student | 12 | 13% |
Student > Postgraduate | 7 | 7% |
Other | 17 | 18% |
Unknown | 8 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 49 | 51% |
Engineering | 20 | 21% |
Business, Management and Accounting | 8 | 8% |
Arts and Humanities | 1 | 1% |
Psychology | 1 | 1% |
Other | 7 | 7% |
Unknown | 10 | 10% |