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X Demographics
Mendeley readers
| Title |
Improving equity using dynamic geographic accessibility data for urban health services planning
|
|---|---|
| Published in |
Gaceta Sanitaria, June 2022
|
| DOI | 10.1016/j.gaceta.2022.05.001 |
| Pubmed ID | |
| Authors |
Luis Gabriel Cuervo, Eliana Martínez-Herrera, Daniel Cuervo, Ciro Jaramillo |
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 % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 33% |
| Researcher | 2 | 22% |
| Lecturer | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 22% |
| Social Sciences | 2 | 22% |
| Nursing and Health Professions | 1 | 11% |
| Psychology | 1 | 11% |
| Unknown | 3 | 33% |