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X Demographics
Mendeley readers
Title |
Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images
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Published in |
Infectious Diseases of Poverty, March 2021
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DOI | 10.1186/s40249-021-00824-5 |
Pubmed ID | |
Authors |
Kang Liu, Ling Yin, Meng Zhang, Min Kang, Ai-Ping Deng, Qing-Lan Li, Tie Song |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 25% |
Germany | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 13% |
Student > Bachelor | 6 | 11% |
Researcher | 6 | 11% |
Student > Doctoral Student | 2 | 4% |
Lecturer | 2 | 4% |
Other | 7 | 13% |
Unknown | 25 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Medicine and Dentistry | 4 | 7% |
Environmental Science | 3 | 5% |
Engineering | 3 | 5% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 11 | 20% |
Unknown | 28 | 51% |