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Mendeley readers
| Title |
Prediction of COVID-19 Outbreaks Using Google Trends in India: A Retrospective Analysis
|
|---|---|
| Published in |
Healthcare Informatics Research, July 2020
|
| DOI | 10.4258/hir.2020.26.3.175 |
| Pubmed ID | |
| Authors |
U Venkatesh, Periyasamy Aravind Gandhi |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 12% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Master | 8 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Student > Bachelor | 8 | 8% |
| Other | 25 | 26% |
| Unknown | 27 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 20% |
| Computer Science | 9 | 9% |
| Nursing and Health Professions | 8 | 8% |
| Social Sciences | 6 | 6% |
| Business, Management and Accounting | 3 | 3% |
| Other | 15 | 15% |
| Unknown | 37 | 38% |