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
Chapter title |
Novel Intelligence Functions for Data–driven Smart Sustainable Urbanism: Utilizing Complexity Sciences in Fashioning Powerful Forms of Simulations Models
|
---|---|
Chapter number | 10 |
Book title |
Big Data Science and Analytics for Smart Sustainable Urbanism
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-17312-8_10 |
Book ISBNs |
978-3-03-017311-1, 978-3-03-017312-8
|
Authors |
Simon Elias Bibri |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 27% |
Researcher | 3 | 14% |
Student > Master | 3 | 14% |
Student > Doctoral Student | 2 | 9% |
Other | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 7 | 32% |
Social Sciences | 5 | 23% |
Engineering | 2 | 9% |
Arts and Humanities | 1 | 5% |
Design | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 27% |