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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
251 | 0 | Private | CHL | Latin America | Metropolitana de Santiago | 6 | 0 | 0.90 | 0.61 | 1 | 2 | 6 | 4 | 1 | 1 | 16.67 | 0 | 83.33 | 6 | 0 | 5 | 6 |
252 | 0 | Private | CHL | Latin America | Los Lagos | 25 | 1 | 1.62 | 1.63 | 7 | 4 | 24 | 20 | 6 | 1 | 4 | 0 | 68 | 25 | 0 | 21 | 24 |
253 | 0 | Higher educ. | MEX | Latin America | Baja California Norte | 2 | 0 | 0.16 | 0.32 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
254 | 0 | Higher educ. | MEX | Latin America | Veracruz | 6 | 0 | 1.09 | 0.28 | 7 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 100 | 6 | 0 | 1 | 5 |
255 | 0 | Higher educ. | MEX | Latin America | Puebla | 4,819 | 109 | 1.02 | 0.53 | 3,307 | 2,156 | 2,182 | 1,856 | 574 | 38 | 0.82 | 33 | 55.97 | 4,819 | 0 | 1,898 | 3,906 |
256 | 0 | Others | GTM | Latin America | Guatemala | 5 | 0 | 0.25 | 0.08 | 8 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 60 | 5 | 0 | 1 | 5 |
257 | 1 | Private | CHL | Latin America | Metropolitana de Santiago | 6 | 0 | 0.87 | 1.64 | 9 | 2 | 6 | 1 | 0 | 0 | 0 | 4 | 50 | 6 | 0 | 2 | 5 |
258 | 2 | Health | CUB | Latin America | La Habana | 4 | 0 | 0.09 | 0.08 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 1 | 2 |
259 | 0 | Government | CUB | Latin America | La Habana | 7 | 0 | 0.14 | 0.14 | 8 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 71.43 | 1 | 1 | 1 | 6 |
260 | 0 | Government | MEX | Latin America | Mexico City | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
261 | 0 | Others | BRA | Latin America | Minas Gerais | 15 | 0 | 0.88 | 0 | 5 | 0 | 13 | 10 | 1 | 0 | 0 | 0 | 73.33 | 15 | 0 | 10 | 14 |
262 | 0 | Private | ARG | Latin America | Buenos Aires | 2 | 0 | 0 | 0 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 1 |
263 | 0 | Others | MEX | Latin America | Yucatan | 1 | 0 | 0.69 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 |
264 | 0 | Others | COL | Latin America | Antioquia | 6 | 0 | 0.57 | 0.15 | 5 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 66.67 | 6 | 0 | 4 | 6 |
265 | 0 | Health | BRA | Latin America | Minas Gerais | 84 | 5 | 0.84 | 0.84 | 83 | 54 | 37 | 44 | 8 | 0 | 0 | 0 | 53.57 | 84 | 0 | 33 | 77 |
266 | 0 | Government | CUB | Latin America | La Habana | 938 | 23 | 0.66 | 0.48 | 1,671 | 450 | 541 | 369 | 61 | 34 | 3.68 | 67 | 60.13 | 938 | 0 | 420 | 766 |
267 | 1 | Private | CHL | Latin America | Biobío | 61 | 1 | 0.86 | 0.86 | 37 | 27 | 49 | 44 | 6 | 0 | 0 | 0 | 52.46 | 61 | 0 | 25 | 54 |
268 | 0 | Private | ARG | Latin America | Buenos Aires | 16 | 0 | 0.99 | 0.47 | 19 | 3 | 10 | 11 | 1 | 2 | 12.50 | 0 | 68.75 | 16 | 0 | 9 | 16 |
269 | 0 | Private | BRA | Latin America | Sao Paulo | 1 | 0 | 1.36 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 100 | 1 | 0 | 1 | 1 |
270 | 0 | Private | MEX | Latin America | Mexico City | 3 | 0 | 0.48 | 0 | 4 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 2 | 3 |
271 | 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 |
272 | 0 | Private | PER | Latin America | Lima | 5 | 0 | 0.30 | 0.02 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 100 | 5 | 0 | 0 | 5 |
273 | 0 | Private | CHL | Latin America | Metropolitana de Santiago | 8 | 0 | 0.74 | 0.79 | 3 | 6 | 5 | 8 | 0 | 0 | 0 | 0 | 87.50 | 8 | 0 | 8 | 8 |
274 | 0 | Private | CHL | Latin America | Metropolitana de Santiago | 4 | 0 | 0.92 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 50 | 4 | 0 | 0 | 4 |
275 | 0 | Private | MEX | Latin America | Nuevo Leon | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
276 | 0 | Higher educ. | NIC | Latin America | Atlantico Sur | 5 | 0 | 1.14 | 0 | 3 | 0 | 5 | 1 | 0 | 0 | 0 | 0 | 60 | 5 | 0 | 2 | 5 |
277 | 1 | Private | BRA | Latin America | Sao Paulo | 16 | 0 | 0.78 | 0.93 | 15 | 3 | 7 | 13 | 1 | 0 | 0 | 0 | 56.25 | 16 | 0 | 3 | 14 |
278 | 1 | Private | COL | Latin America | Bogota, D.C. | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
279 | 1 | Private | MEX | Latin America | Mexico City | 5 | 0 | 1.54 | 0 | 4 | 0 | 5 | 4 | 0 | 0 | 0 | 0 | 100 | 5 | 0 | 2 | 4 |
280 | 1 | Private | BRA | Latin America | Sao Paulo | 6 | 0 | 0.48 | 0.19 | 5 | 1 | 3 | 2 | 0 | 0 | 0 | 0 | 33.33 | 6 | 0 | 0 | 5 |
281 | 1 | Private | BRA | Latin America | Sao Paulo | 20 | 0 | 0.43 | 0.28 | 35 | 13 | 3 | 2 | 1 | 0 | 0 | 104 | 10 | 20 | 0 | 1 | 11 |
282 | 1 | Private | MEX | Latin America | Jalisco | 3 | 0 | 0.19 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 |
283 | 0 | Others | MEX | Latin America | Jalisco | 3 | 0 | 0.39 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 2 |
284 | 0 | Private | BRA | Latin America | Sao Paulo | 49 | 0 | 0.94 | 1.47 | 66 | 18 | 14 | 19 | 3 | 1 | 2.04 | 95 | 30.61 | 49 | 0 | 11 | 41 |
285 | 0 | Others | BRA | Latin America | Sao Paulo | 36 | 4 | 18.41 | 26.24 | 25 | 7 | 34 | 26 | 15 | 5 | 13.89 | 0 | 86.11 | 36 | 0 | 28 | 31 |
286 | 0 | Others | BRA | Latin America | Sao Paulo | 150 | 10 | 0.92 | 0.77 | 181 | 96 | 71 | 61 | 20 | 0 | 0 | 0 | 54.67 | 150 | 0 | 80 | 133 |
287 | 1 | Private | MEX | Latin America | Mexico City | 1 | 0 | 0.16 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
288 | 0 | Others | CHL | Latin America | Metropolitana de Santiago | 4 | 2 | 1.08 | 1.44 | 6 | 3 | 1 | 4 | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 4 |
289 | 0 | Health | ARG | Latin America | Buenos Aires | 7 | 0 | 1.30 | 0.51 | 4 | 2 | 2 | 5 | 1 | 0 | 0 | 0 | 85.71 | 7 | 0 | 2 | 7 |
290 | 1 | Private | BRA | Latin America | Rio de Janeiro | 2 | 0 | 0.34 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 |
291 | 0 | Private | BRA | Latin America | Ceara | 2 | 0 | 0.68 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
292 | 0 | Others | BOL | Latin America | Cochabamba | 1 | 0 | 0.71 | 0.71 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 |
293 | 0 | Others | MEX | Latin America | Baja California Sur | 4 | 0 | 1.40 | 0 | 3 | 0 | 2 | 3 | 1 | 0 | 0 | 0 | 50 | 4 | 0 | 3 | 4 |
294 | 0 | Others | COL | Latin America | Bogota, D.C. | 40 | 0 | 0.58 | 0.10 | 40 | 10 | 13 | 12 | 4 | 0 | 0 | 0 | 67.50 | 40 | 0 | 16 | 32 |
295 | 0 | Health | CRI | Latin America | San Jose | 218 | 1 | 3.77 | 0.28 | 281 | 63 | 162 | 110 | 40 | 3 | 1.40 | 0 | 71.56 | 218 | 0 | 119 | 181 |
296 | 0 | Others | COL | Latin America | Risaralda | 48 | 0 | 0.54 | 0.13 | 47 | 12 | 20 | 11 | 2 | 1 | 2.08 | 0 | 72.92 | 48 | 0 | 25 | 40 |
297 | 0 | Others | COL | Latin America | Bogota, D.C. | 6 | 0 | 21.35 | 0 | 6 | 0 | 4 | 2 | 1 | 1 | 16.67 | 0 | 100 | 6 | 0 | 3 | 6 |
298 | 0 | Others | COL | Latin America | Valle del Cauca | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
299 | 0 | Health | PAN | Latin America | Panama | 63 | 2 | 1.24 | 1.02 | 77 | 12 | 44 | 27 | 8 | 1 | 1.59 | 0 | 69.84 | 63 | 0 | 36 | 55 |
300 | 0 | Health | BOL | Latin America | La Paz | 70 | 0 | 0.82 | 0.05 | 63 | 40 | 42 | 20 | 3 | 1 | 1.43 | 0 | 85.71 | 70 | 0 | 23 | 46 |