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Mendeley readers
Chapter title |
Using Dynamic Bayesian Networks for Incorporating Nontraditional Data Sources in Public Health Surveillance
|
---|---|
Chapter number | 3 |
Book title |
Public Health Intelligence and the Internet
|
Published by |
Springer, Cham, January 2017
|
DOI | 10.1007/978-3-319-68604-2_3 |
Book ISBNs |
978-3-31-968602-8, 978-3-31-968604-2
|
Authors |
Masoumeh Izadi, Katia Charland, David L. Buckeridge |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Student > Bachelor | 3 | 18% |
Researcher | 3 | 18% |
Professor > Associate Professor | 2 | 12% |
Professor | 1 | 6% |
Other | 3 | 18% |
Unknown | 1 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 24% |
Computer Science | 2 | 12% |
Veterinary Science and Veterinary Medicine | 1 | 6% |
Environmental Science | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 6 | 35% |
Unknown | 2 | 12% |