You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
Web Information Systems Engineering – WISE 2017
|
---|---|
Published by |
Springer International Publishing, October 2017
|
DOI | 10.1007/978-3-319-68783-4 |
ISBNs |
978-3-31-968782-7, 978-3-31-968783-4
|
Editors |
Bouguettaya, Athman, Gao, Yunjun, Klimenko, Andrey, Chen, Lu, Zhang, Xiangliang, Dzerzhinskiy, Fedor, Jia, Weijia, Klimenko, Stanislav V., Li, Qing |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 6% |
Student > Doctoral Student | 2 | 4% |
Student > Bachelor | 1 | 2% |
Student > Ph. D. Student | 1 | 2% |
Researcher | 1 | 2% |
Other | 0 | 0% |
Unknown | 40 | 83% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Economics, Econometrics and Finance | 1 | 2% |
Social Sciences | 1 | 2% |
Other | 0 | 0% |
Unknown | 42 | 88% |