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 | Overton | SDGs | Female STP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10051 | 1 | Government | CUB | Latin America | La Habana | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
10052 | 0 | Health | ESP | Western Europe | Pais Vasco | 1 | 0 | 1.96 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
10053 | 0 | Others | MEX | Latin America | Mexico City | 1 | 0 | 0.18 | 0.18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10054 | 0 | Government | CUB | Latin America | La Habana | 1 | 0 | 1.22 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
10055 | 0 | Health | BRA | Latin America | Sao Paulo | 1 | 0 | 3.59 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
10056 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
10057 | 0 | Health | ESP | Western Europe | Catalonia | 1 | 0 | 1.21 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
10058 | 0 | Health | COL | Latin America | Atlantico | 1 | 0 | 0.21 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
10059 | 0 | Health | MEX | Latin America | Chiapas | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 1 | 1 |
10060 | 0 | Others | MEX | Latin America | Mexico City | 1 | 0 | 2.17 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 |
10061 | 0 | Government | MEX | Latin America | Mexico City | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10062 | 0 | Government | HND | Latin America | Francisco Morazan | 1 | 0 | 3.24 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
10063 | 0 | Health | ESP | Western Europe | Catalonia | 1 | 0 | 0.25 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 | 0 | 0 | 1 |
10064 | 0 | Private | ARG | Latin America | Buenos Aires | 1 | 0 | 0.16 | 0.16 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 |
10065 | 0 | Health | DOM | Latin America | Santiago | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10066 | 0 | Health | MEX | Latin America | Queretaro de Arteaga | 1 | 0 | 0 | 0 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10067 | 0 | Government | MEX | Latin America | Mexico City | 1 | 0 | 1.92 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10068 | 0 | Health | MEX | Latin America | Mexico City | 1 | 0 | 0.14 | 0.14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
10069 | 2 | Government | CHL | Latin America | Metropolitana de Santiago | 1 | 0 | 0.49 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10070 | 2 | Government | BRA | Latin America | Sao Paulo | 1 | 0 | 2.06 | 2.06 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10071 | 0 | Government | VEN | Latin America | Bolivar | 1 | 0 | 0.31 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10072 | 0 | Health | VEN | Latin America | Distrito Capital | 1 | 0 | 0.31 | 0.31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 1 | 1 |
10073 | 1 | Government | ESP | Western Europe | Catalonia | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
10074 | 0 | Government | MEX | Latin America | Mexico City | 1 | 0 | 0.28 | 0.28 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 1 | 3 |
10075 | 0 | Government | NIC | Latin America | Managua | 1 | 0 | 0.16 | 0.16 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 3 |
10076 | 0 | Health | MEX | Latin America | Puebla | 1 | 0 | 0.16 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
10077 | 0 | Government | COL | Latin America | Antioquia | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10078 | 0 | Health | MEX | Latin America | Queretaro de Arteaga | 1 | 0 | 0.15 | 0.15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10079 | 0 | Others | COL | Latin America | Bogota, D.C. | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10080 | 0 | Health | PER | Latin America | Lima | 1 | 0 | 0.70 | 0 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
10081 | 0 | Government | VEN | Latin America | Distrito Capital | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
10082 | 0 | Higher educ. | CHL | Latin America | Valparaíso | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
10083 | 0 | Health | ESP | Western Europe | Madrid | 1 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 |
10084 | 0 | Government | MEX | Latin America | Sinaloa | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10085 | 0 | Government | ESP | Western Europe | Madrid | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
10086 | 0 | Higher educ. | PRT | Western Europe | Lisboa | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10087 | 0 | Higher educ. | MEX | Latin America | Jalisco | 1 | 0 | 0.53 | 0.53 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 | 0 | 0 | 1 |
10088 | 1 | Higher educ. | MEX | Latin America | Michoacan de Ocampo | 1 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10089 | 1 | Higher educ. | MEX | Latin America | Nuevo Leon | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 1 | 1 | 0 | 1 | 0 |
10090 | 1 | Higher educ. | MEX | Latin America | Puebla | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10091 | 1 | Higher educ. | MEX | Latin America | Michoacan de Ocampo | 1 | 0 | 1.07 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10092 | 0 | Health | ESP | Western Europe | Madrid | 1 | 0 | 0.38 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10093 | 0 | Higher educ. | COL | Latin America | Tolima | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10094 | 0 | Health | CHL | Latin America | Metropolitana de Santiago | 1 | 0 | 0.53 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
10095 | 1 | Private | ESP | Western Europe | Galicia | 1 | 0 | 2.09 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10096 | 0 | Government | BRA | Latin America | Sao Paulo | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
10097 | 0 | Private | MEX | Latin America | Chihuahua | 1 | 0 | 0.33 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10098 | 0 | Others | ESP | Western Europe | Catalonia | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
10099 | 0 | Others | ESP | Western Europe | Madrid | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
10100 | 0 | Others | MEX | Latin America | Baja California Norte | 1 | 0 | 0.88 | 0.88 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 4 |