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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7451 | 0 | Others | PER | Latin America | Arequipa | 4 | 0 | 0.25 | 0 | 2 | 0 | 4 | 2 | 1 | 0 | 0 | 0 | 25 | 4 | 0 | 2 | 4 |
7452 | 0 | Others | PRT | Western Europe | Lisboa | 4 | 0 | 0.03 | 0.08 | 5 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 0 | 3 |
7453 | 0 | Private | ESP | Western Europe | Madrid | 4 | 0 | 0.16 | 0 | 5 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 3 | 3 |
7454 | 0 | Private | ESP | Western Europe | Madrid | 4 | 0 | 0.38 | 0 | 4 | 0 | 2 | 2 | 0 | 1 | 25 | 0 | 50 | 4 | 0 | 0 | 2 |
7455 | 0 | Higher educ. | BRA | Latin America | Rondonia | 4 | 0 | 0.25 | 0.07 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 1 | 3 |
7456 | 0 | Higher educ. | BRA | Latin America | Parana | 4 | 0 | 0.11 | 0.14 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 0 | 4 |
7457 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 4 | 0 | 0.14 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 1 | 4 |
7458 | 1 | Higher educ. | BRA | Latin America | Pernambuco | 4 | 0 | 2.61 | 0 | 3 | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 3 | 4 |
7459 | 0 | Higher educ. | BRA | Latin America | Distrito Federal | 4 | 0 | 0.26 | 0 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 1 | 4 |
7460 | 0 | Others | COL | Latin America | Bogota, D.C. | 4 | 0 | 0.04 | 0 | 4 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 50 | 3 | 1 | 0 | 3 |
7461 | 0 | Private | ESP | Western Europe | Andalucia | 4 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 4 | 0 | 0 | 2 |
7462 | 1 | Private | MEX | Latin America | Zacatecas | 4 | 0 | 0.21 | 0 | 6 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 0 | 4 |
7463 | 0 | Others | BRA | Latin America | Amazonas | 4 | 0 | 0.57 | 0 | 2 | 0 | 3 | 4 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 4 | 4 |
7464 | 0 | Others | ESP | Western Europe | Catalonia | 4 | 0 | 0.48 | 0 | 1 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 3 | 3 |
7465 | 0 | Others | ESP | Western Europe | Aragon | 4 | 0 | 1.32 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 75 | 4 | 0 | 3 | 4 |
7466 | 0 | Others | GTM | Latin America | Guatemala | 4 | 0 | 0.55 | 0 | 3 | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 25 | 4 | 0 | 2 | 4 |
7467 | 0 | Health | DOM | Latin America | Distrito Nacional | 4 | 0 | 1.42 | 0 | 5 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 75 | 4 | 0 | 2 | 4 |
7468 | 0 | Others | ARG | Latin America | Formosa | 4 | 1 | 2.38 | 2.32 | 4 | 2 | 4 | 4 | 2 | 0 | 0 | 0 | 75 | 4 | 0 | 4 | 4 |
7469 | 0 | Health | ESP | Western Europe | Asturias | 4 | 0 | 1.58 | 0 | 7 | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 4 |
7470 | 0 | Health | VEN | Latin America | Carabobo | 4 | 0 | 0.27 | 0 | 6 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 1 | 1 |
7471 | 0 | Others | ESP | Western Europe | Galicia | 4 | 0 | 3.45 | 0 | 1 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 100 | 4 | 0 | 4 | 4 |
7472 | 0 | Others | ESP | Western Europe | Madrid | 4 | 0 | 0 | 0 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 1 | 1 | 3 |
7473 | 0 | Others | GTM | Latin America | Guatemala | 4 | 0 | 0.98 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 75 | 4 | 0 | 3 | 4 |
7474 | 1 | Others | ESP | Western Europe | Andalucia | 4 | 0 | 0.57 | 1.51 | 3 | 1 | 1 | 3 | 0 | 1 | 25 | 0 | 75 | 4 | 0 | 3 | 3 |
7475 | 0 | Others | ARG | Latin America | Chubut | 4 | 0 | 0.25 | 0 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 25 | 4 | 0 | 2 | 4 |
7476 | 1 | Health | ESP | Western Europe | Catalonia | 4 | 0 | 0.41 | 0 | 3 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 3 | 3 |
7477 | 0 | Others | ESP | Western Europe | Catalonia | 4 | 0 | 0.46 | 0 | 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 2 | 2 |
7478 | 0 | Others | SLV | Latin America | San Salvador | 4 | 0 | 1.08 | 0 | 4 | 0 | 4 | 4 | 1 | 0 | 0 | 0 | 75 | 4 | 0 | 3 | 4 |
7479 | 0 | Others | COL | Latin America | Bogota, D.C. | 4 | 0 | 0.10 | 0.13 | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 1 | 1 | 1 | 1 |
7480 | 0 | Others | COL | Latin America | Bogota, D.C. | 4 | 0 | 2.51 | 0 | 1 | 0 | 4 | 4 | 2 | 0 | 0 | 0 | 100 | 4 | 0 | 4 | 4 |
7481 | 0 | Private | COL | Latin America | Valle del Cauca | 4 | 0 | 0.68 | 0 | 5 | 0 | 1 | 0 | 0 | 1 | 25 | 0 | 50 | 4 | 0 | 1 | 4 |
7482 | 1 | Government | ESP | Western Europe | Aragon | 4 | 0 | 1.06 | 0 | 3 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 25 | 4 | 0 | 3 | 3 |
7483 | 0 | Government | MEX | Latin America | San Luis Potosi | 4 | 0 | 0.12 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 4 | 4 |
7484 | 0 | Government | MEX | Latin America | Tamaulipas | 4 | 0 | 0.03 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 4 | 0 | 0 | 3 |
7485 | 2 | Private | BRA | Latin America | Minas Gerais | 4 | 1 | 1.68 | 2.02 | 5 | 3 | 2 | 3 | 1 | 1 | 25 | 0 | 25 | 4 | 0 | 1 | 4 |
7486 | 1 | Health | MEX | Latin America | Durango | 4 | 0 | 2.44 | 0.53 | 4 | 2 | 2 | 3 | 1 | 0 | 0 | 0 | 25 | 4 | 0 | 2 | 3 |
7487 | 0 | Government | CUB | Latin America | La Habana | 4 | 0 | 0.15 | 0 | 2 | 0 | 4 | 0 | 0 | 0 | 0 | 3 | 25 | 4 | 0 | 1 | 3 |
7488 | 1 | Private | ESP | Western Europe | Catalonia | 4 | 0 | 0.64 | 0 | 6 | 0 | 2 | 4 | 0 | 0 | 0 | 1 | 75 | 4 | 0 | 3 | 4 |
7489 | 0 | Government | ESP | Western Europe | Madrid | 4 | 0 | 0.63 | 0 | 2 | 0 | 4 | 4 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 0 | 4 |
7490 | 0 | Private | COL | Latin America | Antioquia | 4 | 0 | 0 | 0 | 8 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 0 | 0 |
7491 | 0 | Private | ESP | Western Europe | Madrid | 4 | 0 | 0.69 | 0 | 5 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 50 | 4 | 0 | 1 | 2 |
7492 | 1 | Health | MEX | Latin America | Jalisco | 4 | 0 | 0.81 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 3 | 4 |
7493 | 1 | Health | MEX | Latin America | Chihuahua | 4 | 0 | 0.58 | 0 | 3 | 0 | 3 | 2 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 1 | 3 |
7494 | 1 | Health | MEX | Latin America | Veracruz | 4 | 0 | 0.67 | 0 | 3 | 0 | 2 | 3 | 1 | 0 | 0 | 0 | 100 | 4 | 0 | 1 | 2 |
7495 | 1 | Health | PER | Latin America | Puno | 4 | 0 | 0.55 | 0 | 3 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 75 | 4 | 0 | 2 | 4 |
7496 | 0 | Health | ARG | Latin America | Formosa | 4 | 0 | 0.53 | 0 | 2 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 25 | 4 | 0 | 3 | 4 |
7497 | 0 | Health | VEN | Latin America | Aragua | 4 | 0 | 0.07 | 0.05 | 8 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 0 | 4 |
7498 | 0 | Health | BOL | Latin America | La Paz | 4 | 0 | 2.24 | 0 | 3 | 0 | 4 | 1 | 2 | 0 | 0 | 0 | 75 | 4 | 0 | 2 | 4 |
7499 | 0 | Health | ARG | Latin America | Buenos Aires | 4 | 0 | 0.24 | 0 | 5 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 2 | 2 |
7500 | 0 | Health | BRA | Latin America | Parana | 4 | 0 | 0 | 0 | 6 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 25 | 4 | 0 | 2 | 4 |