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Twitter Demographics
Mendeley readers
Title |
Cyber-Physical Systems: A Model-Based Approach
|
---|---|
Published by |
Springer International Publishing, September 2020
|
DOI | 10.1007/978-3-030-36071-9 |
ISBNs |
978-3-03-036070-2, 978-3-03-036071-9
|
Authors |
Taha, Walid M., Taha, Abd-Elhamid M., Thunberg, Johan |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 15% |
Student > Ph. D. Student | 7 | 11% |
Lecturer | 7 | 11% |
Professor > Associate Professor | 5 | 8% |
Researcher | 5 | 8% |
Other | 9 | 15% |
Unknown | 19 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 26% |
Engineering | 11 | 18% |
Economics, Econometrics and Finance | 5 | 8% |
Social Sciences | 3 | 5% |
Medicine and Dentistry | 2 | 3% |
Other | 5 | 8% |
Unknown | 19 | 31% |