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X Demographics
Mendeley readers
| Title |
COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España
|
|---|---|
| Published in |
Gaceta Sanitaria, April 2020
|
| DOI | 10.1016/j.gaceta.2020.04.002 |
| Pubmed ID | |
| Authors |
Joan Valls, Aurelio Tobías, Pau Satorra, Cristian Tebé |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 9 | 41% |
| Italy | 1 | 5% |
| United Kingdom | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 10 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 59% |
| Practitioners (doctors, other healthcare professionals) | 4 | 18% |
| Scientists | 4 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 14% |
| Student > Ph. D. Student | 8 | 9% |
| Other | 7 | 8% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 20 | 23% |
| Unknown | 29 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 19% |
| Nursing and Health Professions | 8 | 9% |
| Engineering | 6 | 7% |
| Social Sciences | 4 | 5% |
| Computer Science | 3 | 3% |
| Other | 18 | 20% |
| Unknown | 32 | 36% |