Title |
Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales
|
---|---|
Published in |
PLoS Computational Biology, October 2013
|
DOI | 10.1371/journal.pcbi.1003256 |
Pubmed ID | |
Authors |
Donald R. Olson, Kevin J. Konty, Marc Paladini, Cecile Viboud, Lone Simonsen |
X Demographics
The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 26% |
United Kingdom | 4 | 9% |
Italy | 3 | 7% |
Switzerland | 2 | 5% |
Spain | 1 | 2% |
Brazil | 1 | 2% |
Malawi | 1 | 2% |
Australia | 1 | 2% |
Sweden | 1 | 2% |
Other | 3 | 7% |
Unknown | 15 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 26 | 60% |
Scientists | 15 | 35% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 285 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 2% |
Japan | 2 | <1% |
United Kingdom | 2 | <1% |
Switzerland | 1 | <1% |
Indonesia | 1 | <1% |
Germany | 1 | <1% |
France | 1 | <1% |
Canada | 1 | <1% |
Unknown | 269 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 58 | 20% |
Researcher | 53 | 19% |
Student > Master | 50 | 18% |
Student > Bachelor | 18 | 6% |
Other | 16 | 6% |
Other | 52 | 18% |
Unknown | 38 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 44 | 15% |
Computer Science | 43 | 15% |
Agricultural and Biological Sciences | 32 | 11% |
Social Sciences | 24 | 8% |
Mathematics | 13 | 5% |
Other | 72 | 25% |
Unknown | 57 | 20% |