Institution | Level | Sector | Country | World Region | Region | Output | Excellence with Leadership | Normalized Impact | Normalized Impact Leadership | Scientific Talent Pool | Scientific Leadership | International Collaboration | High Quality Publications | Excellence | Innovative Knowledge | Technological Impact | Patents | Open Access | Not Own Journals | Own Journals | PlumX | Mendeley |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4151 | 1 | Health | ESP | Western Europe | Catalonia | 31 | 0 | 0.87 | 0.52 | 27 | 7 | 2 | 18 | 3 | 0 | 0 | 0 | 51.61 | 31 | 0 | 15 | 29 |
4152 | 0 | Health | ARG | Latin America | Cordoba | 31 | 0 | 0.61 | 0.04 | 40 | 10 | 17 | 10 | 4 | 1 | 3.45 | 0 | 61.29 | 31 | 0 | 13 | 26 |
4153 | 1 | Health | BRA | Latin America | Minas Gerais | 31 | 0 | 0.93 | 0.36 | 43 | 11 | 9 | 13 | 2 | 0 | 0 | 0 | 64.52 | 31 | 0 | 13 | 29 |
4154 | 1 | Health | MEX | Latin America | Yucatan | 31 | 0 | 0.42 | 0.28 | 25 | 4 | 11 | 6 | 1 | 0 | 0 | 0 | 74.19 | 31 | 0 | 16 | 27 |
4155 | 0 | Health | MEX | Latin America | Mexico City | 31 | 0 | 2.12 | 0.50 | 28 | 4 | 14 | 12 | 10 | 0 | 0 | 0 | 77.42 | 31 | 0 | 18 | 27 |
4156 | 0 | Health | MEX | Latin America | Mexico City | 31 | 0 | 1.79 | 0.26 | 34 | 10 | 10 | 7 | 4 | 0 | 0 | 0 | 70.97 | 31 | 0 | 16 | 25 |
4157 | 1 | Private | ESP | Western Europe | Catalonia | 31 | 1 | 0.69 | 0.52 | 30 | 13 | 17 | 6 | 4 | 0 | 0 | 0 | 38.71 | 31 | 0 | 6 | 18 |
4158 | 1 | Government | ESP | Western Europe | Madrid | 31 | 3 | 1.12 | 1.15 | 18 | 24 | 17 | 21 | 4 | 0 | 0 | 0 | 32.26 | 31 | 0 | 20 | 25 |
4159 | 0 | Health | BRA | Latin America | Rio de Janeiro | 31 | 1 | 0.77 | 0.74 | 35 | 14 | 12 | 17 | 3 | 1 | 3.23 | 0 | 58.06 | 31 | 0 | 18 | 28 |
4160 | 0 | Health | DOM | Latin America | Distrito Nacional | 31 | 0 | 0.74 | 0 | 10 | 1 | 31 | 24 | 4 | 0 | 0 | 0 | 54.84 | 31 | 0 | 20 | 28 |
4161 | 2 | Health | BRA | Latin America | Sao Paulo | 31 | 2 | 0.61 | 0.77 | 70 | 13 | 14 | 18 | 3 | 0 | 0 | 0 | 83.87 | 31 | 0 | 16 | 30 |
4162 | 1 | Higher educ. | MEX | Latin America | Veracruz | 31 | 1 | 0.51 | 0.94 | 20 | 7 | 5 | 15 | 3 | 0 | 0 | 0 | 45.16 | 31 | 0 | 9 | 29 |
4163 | 1 | Health | ESP | Western Europe | Pais Vasco | 31 | 1 | 1.43 | 2.23 | 10 | 4 | 10 | 19 | 4 | 2 | 6.45 | 0 | 61.29 | 31 | 0 | 17 | 28 |
4164 | 0 | Others | COL | Latin America | Cundinamarca | 31 | 0 | 0.60 | 0.72 | 4 | 7 | 19 | 21 | 1 | 1 | 3.33 | 0 | 64.52 | 31 | 0 | 25 | 29 |
4165 | 0 | Government | CRI | Latin America | San Jose | 31 | 0 | 1.30 | 0.88 | 33 | 3 | 28 | 19 | 5 | 0 | 0 | 0 | 74.19 | 31 | 0 | 21 | 25 |
4166 | 0 | Government | CUB | Latin America | La Habana | 31 | 0 | 0.71 | 0.29 | 41 | 8 | 24 | 12 | 4 | 0 | 0 | 0 | 54.84 | 31 | 0 | 10 | 22 |
4167 | 1 | Government | ESP | Western Europe | Madrid | 31 | 1 | 0.38 | 0.45 | 18 | 26 | 8 | 4 | 1 | 0 | 0 | 0 | 61.29 | 31 | 1 | 6 | 19 |
4168 | 0 | Government | SLV | Latin America | San Salvador | 31 | 0 | 0.76 | 0.19 | 28 | 3 | 29 | 21 | 2 | 0 | 0 | 0 | 77.42 | 31 | 0 | 18 | 25 |
4169 | 0 | Higher educ. | PRT | Western Europe | Madeira | 31 | 0 | 0.63 | 0.39 | 1 | 3 | 31 | 16 | 2 | 0 | 0 | 0 | 93.55 | 31 | 0 | 11 | 26 |
4170 | 0 | Others | ESP | Western Europe | Madrid | 31 | 3 | 0.78 | 0.71 | 44 | 25 | 1 | 3 | 5 | 0 | 0 | 0 | 38.71 | 31 | 0 | 20 | 23 |
4171 | 0 | Others | ESP | Western Europe | Baleares | 31 | 0 | 0.19 | 0.16 | 10 | 7 | 8 | 5 | 0 | 0 | 0 | 0 | 45.16 | 31 | 0 | 14 | 22 |
4172 | 3 | Others | ESP | Western Europe | Andalucia | 31 | 2 | 0.90 | 1.26 | 24 | 15 | 28 | 21 | 4 | 0 | 0 | 0 | 41.94 | 31 | 0 | 14 | 27 |
4173 | 4 | Government | ESP | Western Europe | Aragon | 31 | 1 | 0.77 | 0.74 | 12 | 17 | 12 | 20 | 2 | 0 | 0 | 0 | 83.87 | 31 | 0 | 23 | 30 |
4174 | 0 | Higher educ. | CRI | Latin America | San Jose | 31 | 0 | 0.40 | 0.31 | 46 | 12 | 20 | 16 | 1 | 0 | 0 | 0 | 67.74 | 31 | 0 | 17 | 29 |
4175 | 0 | Higher educ. | MEX | Latin America | Mexico City | 31 | 1 | 0.62 | 0.34 | 54 | 6 | 5 | 5 | 4 | 1 | 3.23 | 0 | 67.74 | 31 | 0 | 11 | 19 |
4176 | 0 | Higher educ. | BOL | Latin America | Cochabamba | 31 | 0 | 0.77 | 0.98 | 29 | 12 | 23 | 6 | 2 | 0 | 0 | 0 | 64.52 | 31 | 0 | 8 | 25 |
4177 | 0 | Higher educ. | BOL | Latin America | Oruro | 31 | 0 | 0.48 | 0.42 | 24 | 4 | 28 | 7 | 0 | 0 | 0 | 0 | 77.42 | 31 | 0 | 8 | 25 |
4178 | 1 | Government | CRI | Latin America | San Jose | 30 | 3 | 1.75 | 1.80 | 17 | 9 | 30 | 26 | 10 | 0 | 0 | 0 | 66.67 | 30 | 0 | 17 | 30 |
4179 | 1 | Government | ESP | Western Europe | Baleares | 30 | 0 | 1.76 | 0 | 5 | 0 | 27 | 26 | 10 | 0 | 0 | 0 | 90 | 30 | 0 | 18 | 29 |
4180 | 0 | Private | ESP | Western Europe | Catalonia | 30 | 2 | 1.12 | 1.18 | 7 | 14 | 18 | 27 | 3 | 0 | 0 | 1 | 96.67 | 30 | 0 | 25 | 29 |
4181 | 0 | Private | ESP | Western Europe | Madrid | 30 | 0 | 0.79 | 0.44 | 28 | 10 | 12 | 11 | 3 | 0 | 0 | 0 | 73.33 | 30 | 0 | 10 | 26 |
4182 | 0 | Health | URY | Latin America | Montevideo | 30 | 2 | 1.86 | 1.04 | 52 | 9 | 22 | 11 | 7 | 0 | 0 | 0 | 63.33 | 30 | 0 | 14 | 26 |
4183 | 0 | Private | ESP | Western Europe | Castilla y Leon | 30 | 0 | 0.74 | 0.41 | 9 | 8 | 11 | 21 | 2 | 0 | 0 | 0 | 73.33 | 30 | 0 | 5 | 29 |
4184 | 2 | Government | BRA | Latin America | Sao Paulo | 30 | 0 | 0.50 | 0.22 | 31 | 9 | 1 | 10 | 1 | 0 | 0 | 0 | 73.33 | 30 | 0 | 6 | 27 |
4185 | 3 | Government | ESP | Western Europe | Castilla y Leon | 30 | 1 | 0.64 | 0.48 | 28 | 24 | 8 | 14 | 1 | 0 | 0 | 0 | 40 | 30 | 0 | 10 | 24 |
4186 | 0 | Others | PER | Latin America | Lima | 30 | 0 | 1.03 | 0.64 | 11 | 14 | 28 | 14 | 2 | 0 | 0 | 0 | 56.67 | 30 | 0 | 23 | 29 |
4187 | 1 | Others | CHL | Latin America | Antofagasta | 30 | 1 | 0.79 | 0.69 | 27 | 18 | 17 | 15 | 5 | 1 | 3.33 | 1 | 56.67 | 30 | 0 | 11 | 30 |
4188 | 1 | Government | ARG | Latin America | Buenos Aires | 30 | 2 | 0.75 | 0.83 | 27 | 17 | 9 | 17 | 2 | 0 | 0 | 0 | 53.33 | 30 | 0 | 13 | 29 |
4189 | 3 | Health | URY | Latin America | Montevideo | 30 | 1 | 1.27 | 1.05 | 15 | 9 | 28 | 16 | 4 | 0 | 0 | 0 | 86.67 | 30 | 0 | 20 | 28 |
4190 | 2 | Health | ESP | Western Europe | Madrid | 30 | 0 | 1.65 | 0.70 | 15 | 8 | 19 | 24 | 8 | 0 | 0 | 0 | 90 | 30 | 0 | 23 | 28 |
4191 | 0 | Health | COL | Latin America | Huila | 30 | 0 | 0.39 | 0.04 | 36 | 8 | 5 | 3 | 2 | 0 | 0 | 0 | 43.33 | 30 | 0 | 10 | 24 |
4192 | 2 | Government | ESP | Western Europe | Valencia | 30 | 1 | 0.90 | 0.58 | 34 | 14 | 3 | 8 | 3 | 0 | 0 | 0 | 70 | 30 | 0 | 8 | 24 |
4193 | 0 | Higher educ. | BRA | Latin America | Rio de Janeiro | 30 | 1 | 0.80 | 0.38 | 12 | 10 | 5 | 11 | 3 | 0 | 0 | 0 | 50 | 30 | 0 | 7 | 25 |
4194 | 0 | Higher educ. | COL | Latin America | Bogota, D.C. | 30 | 0 | 0.16 | 0.17 | 27 | 12 | 9 | 2 | 0 | 0 | 0 | 0 | 66.67 | 30 | 0 | 6 | 19 |
4195 | 1 | Government | ESP | Western Europe | Catalonia | 30 | 0 | 0.97 | 0.52 | 11 | 1 | 14 | 23 | 4 | 0 | 0 | 0 | 73.33 | 30 | 0 | 13 | 25 |
4196 | 0 | Higher educ. | BRA | Latin America | Espirito Santo | 30 | 0 | 0.25 | 0.17 | 42 | 10 | 4 | 4 | 0 | 0 | 0 | 0 | 73.33 | 30 | 0 | 6 | 27 |
4197 | 0 | Private | ESP | Western Europe | Castilla y Leon | 30 | 0 | 0.76 | 0.44 | 13 | 9 | 17 | 18 | 2 | 0 | 0 | 0 | 80 | 30 | 0 | 19 | 27 |
4198 | 0 | Others | COL | Latin America | Bogota, D.C. | 30 | 0 | 0.80 | 0.64 | 31 | 13 | 23 | 13 | 2 | 0 | 0 | 0 | 76.67 | 30 | 0 | 18 | 28 |
4199 | 0 | Government | VEN | Latin America | Distrito Capital | 30 | 0 | 0.61 | 0.36 | 38 | 12 | 25 | 11 | 2 | 0 | 0 | 0 | 50 | 30 | 0 | 12 | 23 |
4200 | 0 | Others | CRI | Latin America | Guanacaste | 30 | 1 | 0.58 | 0.76 | 18 | 13 | 30 | 25 | 1 | 0 | 0 | 0 | 46.67 | 30 | 0 | 24 | 25 |