Class information for: |
Basic class information |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
12 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, INFORMATION SYSTEMS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 1181119 |
23 | 3 | STATISTICS & PROBABILITY//STAT//COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 119395 |
1342 | 2 | DISEASE MAPPING//SMALL AREA ESTIMATION//STATISTICS & PROBABILITY | 8651 |
10627 | 1 | DISEASE MAPPING//CONDITIONAL AUTOREGRESSIVE MODEL//AREAL DATA | 1077 |
Terms with highest relevance score |
rank | Category | termType | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|---|
1 | DISEASE MAPPING | authKW | 2276053 | 12% | 59% | 132 |
2 | CONDITIONAL AUTOREGRESSIVE MODEL | authKW | 342897 | 3% | 38% | 31 |
3 | AREAL DATA | authKW | 267524 | 1% | 57% | 16 |
4 | INTEGRATED NESTED LAPLACE APPROXIMATION | authKW | 248139 | 2% | 40% | 21 |
5 | GEOGRAPHIC EPIDEMIOLOGY | authKW | 247254 | 1% | 65% | 13 |
6 | SHARED COMPONENT MODEL | authKW | 215471 | 1% | 82% | 9 |
7 | CONDITIONAL AUTOREGRESSIVE | authKW | 196697 | 1% | 61% | 11 |
8 | CONDITIONAL AUTOREGRESSIVE PRIORS | authKW | 196697 | 1% | 61% | 11 |
9 | GAUSSIAN MARKOV RANDOM FIELDS | authKW | 188352 | 2% | 25% | 26 |
10 | BAYESIAN DISEASE MAPPING | authKW | 179228 | 1% | 88% | 7 |
Web of Science journal categories |
chi_square_rank | Category | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | Statistics & Probability | 71609 | 62% | 0% | 673 |
2 | Mathematical & Computational Biology | 18845 | 25% | 0% | 264 |
3 | Medical Informatics | 13907 | 14% | 0% | 153 |
4 | Public, Environmental & Occupational Health | 5995 | 31% | 0% | 335 |
5 | Mathematics, Interdisciplinary Applications | 1516 | 9% | 0% | 96 |
6 | Health Care Sciences & Services | 785 | 6% | 0% | 67 |
7 | Medicine, Research & Experimental | 657 | 10% | 0% | 111 |
8 | Computer Science, Interdisciplinary Applications | 390 | 6% | 0% | 62 |
9 | Biology | 364 | 6% | 0% | 63 |
10 | Geography | 332 | 3% | 0% | 30 |
Address terms |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | INTERUNIV STAT STAT BIOINFORMAT | 93637 | 0% | 80% | 4 |
2 | STAT G PARENTI | 75653 | 1% | 17% | 15 |
3 | PL STAT EPIDEMIOL UNIT | 66881 | 0% | 57% | 4 |
4 | ENVIRONM CANC EPIDEMIOL UNIT | 56420 | 1% | 21% | 9 |
5 | SMALL AREA HLTH STAT UNIT | 53629 | 1% | 17% | 11 |
6 | EVIDENCE BASED POPULAT HLTH UNIT | 52669 | 0% | 60% | 3 |
7 | HEALTHCARE INNOVAT IMPROVEMENT | 50603 | 1% | 22% | 8 |
8 | SUBDIRECC PROMOC SALUD PREVENC | 40956 | 1% | 20% | 7 |
9 | DATA ANAL MODELLING COMPUTAT | 39015 | 0% | 67% | 2 |
10 | OBSERV SALUD MEDIO AMBIENTE ANDALUCIA OSMAN | 32916 | 0% | 38% | 3 |
Journals |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | STATISTICAL METHODS IN MEDICAL RESEARCH | 56743 | 4% | 5% | 40 |
2 | STATISTICS IN MEDICINE | 49049 | 10% | 2% | 111 |
3 | ENVIRONMETRICS | 32707 | 4% | 3% | 38 |
4 | INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS | 26148 | 2% | 4% | 23 |
5 | STATISTICAL MODELLING | 21683 | 1% | 5% | 16 |
6 | GEOSPATIAL HEALTH | 16188 | 1% | 4% | 15 |
7 | ENVIRONMENTAL AND ECOLOGICAL STATISTICS | 15636 | 2% | 3% | 19 |
8 | SPATIAL STATISTICS | 14760 | 1% | 5% | 10 |
9 | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | 12759 | 2% | 2% | 23 |
10 | BIOMETRICS | 11775 | 4% | 1% | 43 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Classes with closest relation at Level 1 |