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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4201 | 0 | Others | COL | Latin America | Bogota, D.C. | 30 | 0 | 0.10 | 0.12 | 38 | 24 | 0 | 1 | 0 | 0 | 0 | 0 | 53.33 | 30 | 0 | 4 | 18 |
4202 | 0 | Health | MEX | Latin America | Mexico City | 30 | 0 | 2.39 | 0.61 | 10 | 12 | 18 | 16 | 4 | 1 | 3.33 | 0 | 70 | 30 | 0 | 21 | 27 |
4203 | 1 | Health | ESP | Western Europe | Catalonia | 30 | 2 | 0.72 | 0.83 | 33 | 11 | 6 | 12 | 5 | 0 | 0 | 0 | 60 | 30 | 0 | 18 | 28 |
4204 | 0 | Health | CHL | Latin America | Metropolitana de Santiago | 30 | 0 | 0.66 | 0.03 | 42 | 11 | 9 | 4 | 1 | 0 | 0 | 0 | 66.67 | 30 | 0 | 6 | 24 |
4205 | 1 | Health | ESP | Western Europe | Catalonia | 30 | 0 | 1.54 | 0.31 | 27 | 2 | 1 | 14 | 6 | 1 | 3.33 | 0 | 63.33 | 30 | 0 | 24 | 30 |
4206 | 0 | Health | ESP | Western Europe | Asturias | 30 | 0 | 0.71 | 0.07 | 20 | 5 | 2 | 12 | 3 | 0 | 0 | 0 | 56.67 | 30 | 0 | 19 | 28 |
4207 | 0 | Health | MEX | Latin America | Mexico City | 30 | 0 | 0.55 | 0.31 | 30 | 5 | 4 | 5 | 2 | 0 | 0 | 0 | 60 | 30 | 0 | 11 | 23 |
4208 | 0 | Health | BRA | Latin America | Parana | 30 | 0 | 0.59 | 0 | 22 | 0 | 6 | 18 | 1 | 0 | 0 | 0 | 33.33 | 30 | 0 | 7 | 28 |
4209 | 0 | Health | BRA | Latin America | Goias | 30 | 0 | 0.72 | 0.83 | 16 | 4 | 18 | 10 | 2 | 0 | 0 | 0 | 76.67 | 30 | 0 | 11 | 25 |
4210 | 0 | Health | MEX | Latin America | Guanajuato | 30 | 0 | 0.90 | 0 | 47 | 2 | 18 | 5 | 3 | 0 | 0 | 0 | 80 | 30 | 0 | 10 | 28 |
4211 | 0 | Health | ARG | Latin America | Buenos Aires | 30 | 1 | 1.08 | 1.22 | 21 | 5 | 14 | 16 | 3 | 1 | 3.33 | 0 | 36.67 | 30 | 0 | 11 | 27 |
4212 | 0 | Health | ESP | Western Europe | Castilla y Leon | 30 | 0 | 0.52 | 0.29 | 31 | 15 | 2 | 7 | 1 | 0 | 0 | 0 | 26.67 | 30 | 0 | 16 | 26 |
4213 | 0 | Health | URY | Latin America | Montevideo | 30 | 1 | 0.61 | 0.54 | 34 | 7 | 23 | 8 | 3 | 0 | 0 | 0 | 70 | 30 | 0 | 16 | 27 |
4214 | 0 | Health | CUB | Latin America | Villa Clara | 30 | 0 | 0.14 | 0.05 | 41 | 18 | 3 | 2 | 0 | 0 | 0 | 0 | 60 | 30 | 0 | 2 | 15 |
4215 | 1 | Health | ESP | Western Europe | Andalucia | 30 | 0 | 0.50 | 0.48 | 21 | 12 | 5 | 9 | 1 | 0 | 0 | 0 | 53.33 | 30 | 0 | 10 | 25 |
4216 | 0 | Health | ECU | Latin America | Pichincha | 30 | 0 | 0.88 | 0.19 | 40 | 9 | 16 | 9 | 4 | 0 | 0 | 0 | 80 | 30 | 0 | 15 | 27 |
4217 | 0 | Health | ESP | Western Europe | Madrid | 30 | 1 | 0.72 | 0.51 | 18 | 5 | 4 | 17 | 2 | 1 | 3.70 | 0 | 43.33 | 30 | 0 | 19 | 27 |
4218 | 0 | Health | PRT | Western Europe | Lisboa | 30 | 0 | 0.91 | 0.91 | 29 | 6 | 19 | 19 | 4 | 0 | 0 | 0 | 60 | 30 | 0 | 18 | 28 |
4219 | 0 | Health | ARG | Latin America | Buenos Aires | 30 | 1 | 3.57 | 2.29 | 32 | 8 | 18 | 19 | 4 | 1 | 3.85 | 0 | 73.33 | 30 | 0 | 20 | 30 |
4220 | 0 | Government | ECU | Latin America | Guayas | 30 | 1 | 0.83 | 1.04 | 26 | 5 | 25 | 19 | 3 | 0 | 0 | 0 | 73.33 | 30 | 0 | 17 | 28 |
4221 | 2 | Government | ESP | Western Europe | Castilla y Leon | 30 | 2 | 1.43 | 1.69 | 14 | 12 | 20 | 21 | 5 | 0 | 0 | 0 | 76.67 | 30 | 0 | 13 | 30 |
4222 | 1 | Higher educ. | MEX | Latin America | Colima | 30 | 0 | 0.46 | 0.31 | 39 | 17 | 10 | 4 | 1 | 0 | 0 | 0 | 86.67 | 30 | 0 | 5 | 23 |
4223 | 1 | Higher educ. | MEX | Latin America | Yucatan | 30 | 1 | 0.51 | 0.36 | 26 | 10 | 11 | 7 | 2 | 0 | 0 | 0 | 60 | 30 | 0 | 12 | 21 |
4224 | 1 | Higher educ. | MEX | Latin America | Campeche | 30 | 0 | 0.58 | 0.28 | 24 | 8 | 11 | 9 | 2 | 0 | 0 | 0 | 56.67 | 30 | 0 | 8 | 22 |
4225 | 0 | Private | BRA | Latin America | Sao Paulo | 30 | 0 | 0.96 | 1.45 | 38 | 14 | 5 | 8 | 2 | 0 | 0 | 0 | 26.67 | 30 | 0 | 1 | 26 |
4226 | 1 | Government | ESP | Western Europe | Castilla y Leon | 30 | 0 | 1.57 | 0.32 | 74 | 7 | 11 | 15 | 6 | 0 | 0 | 0 | 63.33 | 30 | 0 | 17 | 29 |
4227 | 0 | Health | BRA | Latin America | Parana | 30 | 0 | 1.68 | 0.35 | 21 | 1 | 8 | 19 | 9 | 2 | 6.67 | 0 | 73.33 | 30 | 0 | 20 | 29 |
4228 | 1 | Others | VEN | Latin America | Distrito Capital | 30 | 0 | 0.99 | 0.52 | 6 | 4 | 28 | 12 | 3 | 0 | 0 | 0 | 46.67 | 30 | 0 | 25 | 29 |
4229 | 2 | Government | ESP | Western Europe | Catalonia | 30 | 0 | 1 | 0.08 | 23 | 6 | 14 | 20 | 4 | 0 | 0 | 0 | 60 | 30 | 0 | 13 | 21 |
4230 | 0 | Others | CUB | Latin America | Sancti Spiritus | 30 | 0 | 1.12 | 0.97 | 4 | 10 | 30 | 18 | 2 | 1 | 3.33 | 0 | 60 | 30 | 0 | 18 | 29 |
4231 | 2 | Health | COL | Latin America | Bogota, D.C. | 30 | 0 | 2.67 | 0.41 | 15 | 2 | 27 | 19 | 7 | 0 | 0 | 0 | 90 | 30 | 0 | 24 | 30 |
4232 | 1 | Private | ESP | Western Europe | Madrid | 30 | 0 | 0.62 | 0.72 | 53 | 7 | 12 | 15 | 3 | 1 | 3.33 | 2 | 56.67 | 30 | 0 | 4 | 29 |
4233 | 0 | Health | COL | Latin America | Bogota, D.C. | 30 | 0 | 0.54 | 0.05 | 21 | 8 | 9 | 4 | 2 | 1 | 3.33 | 0 | 26.67 | 30 | 0 | 18 | 28 |
4234 | 1 | Private | ESP | Western Europe | Catalonia | 30 | 0 | 0.64 | 0.84 | 28 | 4 | 12 | 12 | 1 | 1 | 3.33 | 0 | 73.33 | 30 | 0 | 21 | 28 |
4235 | 1 | Private | BRA | Latin America | Sao Paulo | 30 | 1 | 0.72 | 0.50 | 25 | 9 | 12 | 14 | 4 | 1 | 3.33 | 0 | 26.67 | 30 | 0 | 2 | 27 |
4236 | 0 | Health | MEX | Latin America | Nuevo Leon | 30 | 0 | 0.49 | 0.42 | 48 | 4 | 3 | 12 | 0 | 0 | 0 | 0 | 60 | 30 | 0 | 9 | 28 |
4237 | 1 | Government | MEX | Latin America | Mexico City | 30 | 1 | 1.05 | 0.95 | 33 | 4 | 17 | 12 | 4 | 0 | 0 | 0 | 66.67 | 30 | 0 | 14 | 25 |
4238 | 0 | Others | ARG | Latin America | Buenos Aires | 30 | 0 | 0.39 | 0.30 | 83 | 22 | 7 | 1 | 0 | 0 | 0 | 0 | 93.33 | 4 | 1 | 10 | 26 |
4239 | 0 | Others | COL | Latin America | Bogota, D.C. | 30 | 0 | 0.53 | 0.11 | 34 | 19 | 5 | 5 | 2 | 0 | 0 | 0 | 90 | 30 | 0 | 20 | 26 |
4240 | 0 | Private | ESP | Western Europe | Catalonia | 30 | 0 | 2.84 | 0 | 19 | 0 | 18 | 22 | 6 | 0 | 0 | 0 | 83.33 | 30 | 0 | 24 | 28 |
4241 | 0 | Health | PRT | Western Europe | Alentejo | 30 | 0 | 0.60 | 0.06 | 35 | 8 | 5 | 16 | 0 | 0 | 0 | 0 | 63.33 | 30 | 0 | 9 | 27 |
4242 | 0 | Higher educ. | PER | Latin America | Loreto | 30 | 0 | 0.36 | 0.46 | 25 | 7 | 15 | 8 | 0 | 0 | 0 | 0 | 60 | 30 | 0 | 6 | 22 |
4243 | 0 | Higher educ. | PER | Latin America | Lima | 30 | 0 | 0.39 | 0.44 | 26 | 7 | 9 | 4 | 0 | 0 | 0 | 0 | 70 | 30 | 0 | 5 | 22 |
4244 | 1 | Health | ESP | Western Europe | Catalonia | 30 | 1 | 2.84 | 1.96 | 22 | 10 | 23 | 15 | 8 | 0 | 0 | 0 | 83.33 | 30 | 0 | 17 | 25 |
4245 | 0 | Government | BRA | Latin America | Rio de Janeiro | 29 | 0 | 0.68 | 0.29 | 23 | 13 | 14 | 11 | 2 | 0 | 0 | 0 | 51.72 | 29 | 0 | 15 | 25 |
4246 | 0 | Others | URY | Latin America | Montevideo | 29 | 1 | 0.10 | 0.07 | 17 | 28 | 29 | 0 | 1 | 0 | 0 | 0 | 96.55 | 29 | 0 | 4 | 24 |
4247 | 0 | Others | BRA | Latin America | Sao Paulo | 29 | 0 | 0.60 | 0.54 | 31 | 9 | 7 | 10 | 2 | 0 | 0 | 0 | 55.17 | 29 | 0 | 11 | 27 |
4248 | 0 | Health | COL | Latin America | Bogota, D.C. | 29 | 2 | 0.40 | 0.45 | 18 | 20 | 13 | 8 | 2 | 1 | 3.45 | 0 | 65.52 | 29 | 0 | 15 | 25 |
4249 | 1 | Private | ESP | Western Europe | Madrid | 29 | 0 | 0.72 | 0.75 | 30 | 11 | 10 | 5 | 1 | 1 | 3.45 | 0 | 51.72 | 29 | 0 | 8 | 25 |
4250 | 0 | Private | COL | Latin America | Antioquia | 29 | 1 | 4.22 | 1.30 | 15 | 5 | 16 | 16 | 10 | 0 | 0 | 5 | 44.83 | 29 | 0 | 7 | 29 |