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Mendeley readers
| Chapter title |
Health-Based Geographic Information Systems for Mapping and Risk Modeling of Infectious Diseases and COVID-19 to Support Spatial Decision-Making
|
|---|---|
| Chapter number | 8 |
| Book title |
Translational Informatics
|
| Published by |
Springer, Singapore, January 2022
|
| DOI | 10.1007/978-981-16-8969-7_8 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-168968-0, 978-9-81-168969-7
|
| Authors |
Huang, Xiao, Zhang, Renyi, Li, Xiao, Dadashova, Bahar, Zhu, Lingli, Zhang, Kai, Li, Yu, Shen, Bairong |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 22% |
| Student > Doctoral Student | 3 | 13% |
| Lecturer | 3 | 13% |
| Student > Master | 2 | 9% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 17% |
| Medicine and Dentistry | 3 | 13% |
| Earth and Planetary Sciences | 2 | 9% |
| Environmental Science | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 10 | 43% |