| Title |
Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2020
|
| DOI | 10.3389/frai.2020.00031 |
| Pubmed ID | |
| Authors |
Saskia Comess, Alexia Akbay, Melpomene Vasiliou, Ronald N. Hines, Lucas Joppa, Vasilis Vasiliou, Nicole Kleinstreuer |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| Brazil | 1 | 7% |
| United Kingdom | 1 | 7% |
| France | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 43% |
| Scientists | 4 | 29% |
| Practitioners (doctors, other healthcare professionals) | 3 | 21% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Student > Master | 6 | 12% |
| Lecturer | 3 | 6% |
| Other | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 20 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 20% |
| Medicine and Dentistry | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Economics, Econometrics and Finance | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 26 | 53% |