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X Demographics
Mendeley readers
Title |
Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications
|
---|---|
Published by |
Springer, Cham, January 2017
|
DOI | 10.1007/978-3-319-68527-4 |
ISBNs |
978-3-31-968526-7, 978-3-31-968527-4
|
Editors |
Pavel Krömer, Enrique Alba, Jeng-Shyang Pan, Václav Snášel |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 38% |
Student > Master | 3 | 19% |
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Lecturer | 1 | 6% |
Other | 1 | 6% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 56% |
Engineering | 4 | 25% |
Chemistry | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Unknown | 1 | 6% |