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X Demographics
Mendeley readers
| Title |
Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions
|
|---|---|
| Published in |
Infectious Diseases of Poverty, June 2022
|
| DOI | 10.1186/s40249-022-00981-1 |
| Pubmed ID | |
| Authors |
Monica Golumbeanu, Guo-Jing Yang, Flavia Camponovo, Erin M. Stuckey, Nicholas Hamon, Mathias Mondy, Sarah Rees, Nakul Chitnis, Ewan Cameron, Melissa A. Penny |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 10% |
| Lecturer | 4 | 10% |
| Unspecified | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 18 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 17% |
| Unspecified | 3 | 7% |
| Computer Science | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 20 | 48% |