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X Demographics
Mendeley readers
Title |
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
|
---|---|
Published by |
Springer International Publishing, January 2020
|
DOI | 10.1007/978-3-030-23756-1 |
ISBNs |
978-3-03-023755-4, 978-3-03-023756-1
|
Editors |
Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 54 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 19% |
Student > Ph. D. Student | 10 | 19% |
Researcher | 6 | 11% |
Student > Bachelor | 4 | 7% |
Other | 2 | 4% |
Other | 4 | 7% |
Unknown | 18 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 11 | 20% |
Engineering | 10 | 19% |
Computer Science | 7 | 13% |
Economics, Econometrics and Finance | 2 | 4% |
Social Sciences | 1 | 2% |
Other | 0 | 0% |
Unknown | 23 | 43% |