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X Demographics
Mendeley readers
Title |
Modelos predictivos de la epidemia de COVID-19 en España con curvas de Gompertz
|
---|---|
Published in |
Gaceta Sanitaria, May 2020
|
DOI | 10.1016/j.gaceta.2020.05.005 |
Pubmed ID | |
Authors |
Pablo Sánchez-Villegas, Antonio Daponte Codina |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
Grenada | 2 | 25% |
Korea, Democratic People's Republic of | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 100% |
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 > Bachelor | 7 | 17% |
Researcher | 4 | 10% |
Other | 4 | 10% |
Student > Master | 3 | 7% |
Lecturer | 2 | 5% |
Other | 8 | 19% |
Unknown | 14 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 17% |
Nursing and Health Professions | 5 | 12% |
Computer Science | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Economics, Econometrics and Finance | 2 | 5% |
Other | 10 | 24% |
Unknown | 14 | 33% |