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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8351 | 0 | Higher educ. | BRA | Latin America | Parana | 2 | 0 | 0.22 | 0.22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
8352 | 0 | Higher educ. | ESP | Western Europe | Catalonia | 2 | 0 | 0.96 | 0.96 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 0 |
8353 | 0 | Others | ESP | Western Europe | Baleares | 2 | 0 | 0.21 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
8354 | 1 | Health | ESP | Western Europe | Asturias | 2 | 0 | 0.72 | 1.43 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
8355 | 0 | Others | BRA | Latin America | Sao Paulo | 2 | 0 | 1.56 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
8356 | 0 | Health | ESP | Western Europe | Catalonia | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
8357 | 0 | Others | ESP | Western Europe | Catalonia | 2 | 0 | 0.20 | 0.41 | 9 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 1 |
8358 | 0 | Others | VEN | Latin America | Yaracuy | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
8359 | 0 | Others | ESP | Western Europe | Baleares | 2 | 0 | 0.73 | 0 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 1 | 2 |
8360 | 0 | Others | VEN | Latin America | Merida | 2 | 0 | 0.22 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 |
8361 | 0 | Others | ESP | Western Europe | Valencia | 2 | 0 | 1.33 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
8362 | 0 | Others | COL | Latin America | Bogota, D.C. | 2 | 0 | 0.27 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 2 | 2 |
8363 | 0 | Others | ESP | Western Europe | Madrid | 2 | 0 | 5.24 | 0 | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 50 | 2 | 0 | 2 | 2 |
8364 | 0 | Others | COL | Latin America | Antioquia | 2 | 0 | 2.41 | 0 | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
8365 | 0 | Health | MEX | Latin America | Mexico City | 2 | 0 | 0.07 | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 1 |
8366 | 0 | Others | COL | Latin America | Antioquia | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 0 |
8367 | 0 | Others | ECU | Latin America | Pichincha | 2 | 0 | 0.54 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 2 | 2 |
8368 | 0 | Others | ESP | Western Europe | Madrid | 2 | 0 | 0.51 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 2 | 2 |
8369 | 0 | Others | MEX | Latin America | Mexico City | 2 | 0 | 0.58 | 0 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
8370 | 1 | Health | COL | Latin America | Bogota, D.C. | 2 | 0 | 3.42 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
8371 | 0 | Others | GTM | Latin America | Guatemala | 2 | 0 | 0.27 | 0 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
8372 | 0 | Others | COL | Latin America | Santander | 2 | 0 | 0.90 | 1.37 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
8373 | 0 | Others | MEX | Latin America | Michoacan de Ocampo | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 1 | 2 |
8374 | 0 | Others | ESP | Western Europe | Madrid | 2 | 0 | 0.37 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 1 | 2 |
8375 | 0 | Others | COL | Latin America | Bogota, D.C. | 2 | 0 | 0.09 | 0.09 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
8376 | 0 | Others | ECU | Latin America | Pichincha | 2 | 0 | 0.25 | 0 | 3 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
8377 | 0 | Higher educ. | COL | Latin America | Bogota, D.C. | 2 | 0 | 1.03 | 1.03 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 1 |
8378 | 1 | Private | MEX | Latin America | Queretaro de Arteaga | 2 | 0 | 0.14 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 |
8379 | 0 | Private | COL | Latin America | Bogota, D.C. | 2 | 0 | 0 | 0 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 2 |
8380 | 0 | Others | COL | Latin America | Bogota, D.C. | 2 | 0 | 1.06 | 0 | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 100 | 2 | 0 | 2 | 2 |
8381 | 0 | Government | MEX | Latin America | Michoacan de Ocampo | 2 | 0 | 2.41 | 0 | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 1 |
8382 | 0 | Government | MEX | Latin America | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 1 | 1 | |
8383 | 0 | Government | PRT | Western Europe | Madeira | 2 | 0 | 0.50 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 1 | 0 |
8384 | 0 | Private | MEX | Latin America | Chihuahua | 2 | 0 | 0.69 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
8385 | 0 | Others | ESP | Western Europe | Madrid | 2 | 1 | 1.67 | 1.67 | 1 | 2 | 2 | 2 | 1 | 0 | 0 | 0 | 100 | 2 | 0 | 2 | 2 |
8386 | 0 | Others | PER | Latin America | Lima | 2 | 0 | 0.57 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 2 | 2 |
8387 | 0 | Private | MEX | Latin America | Nuevo Leon | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 |
8388 | 0 | Private | MEX | Latin America | Mexico City | 2 | 0 | 0.32 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 1 |
8389 | 0 | Health | COL | Latin America | Bogota, D.C. | 2 | 0 | 0 | 0 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 1 |
8390 | 0 | Private | MEX | Latin America | Mexico City | 2 | 0 | 2.44 | 1.05 | 8 | 1 | 0 | 1 | 1 | 0 | 0 | 11 | 50 | 2 | 0 | 1 | 2 |
8391 | 1 | Health | ESP | Western Europe | Andalucia | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 2 | 2 |
8392 | 0 | Health | ESP | Western Europe | Catalonia | 2 | 0 | 0.12 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 |
8393 | 0 | Health | CHL | Latin America | Los Lagos | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 1 |
8394 | 1 | Health | MEX | Latin America | Mexico City | 2 | 0 | 0.06 | 0 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
8395 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 2 | 0 | 0.15 | 0.10 | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
8396 | 0 | Health | CHL | Latin America | Biobío | 2 | 0 | 0.22 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
8397 | 0 | Health | VEN | Latin America | Monagas | 2 | 0 | 0.58 | 0 | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 1 | 1 |
8398 | 0 | Health | MEX | Latin America | Veracruz | 2 | 0 | 1.50 | 0 | 3 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 50 | 2 | 0 | 1 | 1 |
8399 | 1 | Health | BRA | Latin America | Sao Paulo | 2 | 0 | 1.92 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
8400 | 0 | Health | ESP | Western Europe | Andalucia | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |