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Mendeley readers
Title |
Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in Iran
|
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Published in |
BMC Research Notes, June 2019
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DOI | 10.1186/s13104-019-4393-y |
Pubmed ID | |
Authors |
Leili Tapak, Omid Hamidi, Mohsen Fathian, Manoochehr Karami |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 28% |
Researcher | 4 | 11% |
Student > Bachelor | 3 | 8% |
Student > Master | 2 | 6% |
Professor | 1 | 3% |
Other | 3 | 8% |
Unknown | 13 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 11% |
Medicine and Dentistry | 4 | 11% |
Agricultural and Biological Sciences | 2 | 6% |
Engineering | 2 | 6% |
Immunology and Microbiology | 2 | 6% |
Other | 3 | 8% |
Unknown | 19 | 53% |