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Mendeley readers
| Chapter title |
Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects
|
|---|---|
| Chapter number | 1 |
| Book title |
Cloud Computing for Geospatial Big Data Analytics
|
| Published by |
Springer, Cham, January 2019
|
| DOI | 10.1007/978-3-030-03359-0_1 |
| Book ISBNs |
978-3-03-003358-3, 978-3-03-003359-0
|
| Authors |
Samiya Khan, Syed Arshad Ali, Nabeela Hasan, Kashish Ara Shakil, Mansaf Alam, Khan, Samiya, Ali, Syed Arshad, Hasan, Nabeela, Shakil, Kashish Ara, Alam, Mansaf |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 8% |
| Other | 2 | 8% |
| Student > Master | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 13 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Engineering | 3 | 12% |
| Agricultural and Biological Sciences | 1 | 4% |
| Unspecified | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 54% |