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 |
---|---|---|---|
14 | 4 | MATHEMATICS//MATHEMATICS, APPLIED//MATH | 912822 |
376 | 3 | MATHEMATICS, APPLIED//GLOBAL STABILITY//PERMANENCE | 34459 |
2849 | 2 | JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS//NONMEM//VIRUS DYNAMICS | 3193 |
5033 | 1 | JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS//NONMEM//NONLINEAR MIXED EFFECTS MODEL | 1712 |
8283 | 1 | VIRUS DYNAMICS//INTRACELLULAR DELAY//HIV DYNAMICS | 1298 |
30457 | 1 | PRINCIPAL DIFFERENTIAL ANALYSIS//BAYESIAN ODE PENALIZED B SPLINE//CIRCUIT THEORY MEASUREMENT SCI MAT SCI | 183 |
Terms with highest relevance score |
rank | Category | termType | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|---|
1 | JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS | journal | 1031874 | 8% | 41% | 253 |
2 | NONMEM | authKW | 474670 | 6% | 27% | 177 |
3 | VIRUS DYNAMICS | authKW | 344725 | 2% | 61% | 57 |
4 | NONLINEAR MIXED EFFECTS MODEL | authKW | 332168 | 3% | 38% | 88 |
5 | INTRACELLULAR DELAY | authKW | 277555 | 1% | 94% | 30 |
6 | HIV DYNAMICS | authKW | 245671 | 1% | 66% | 38 |
7 | INDIRECT RESPONSE MODELS | authKW | 205590 | 1% | 83% | 25 |
8 | VIRAL DYNAMICS | authKW | 180398 | 2% | 38% | 48 |
9 | CTL IMMUNE RESPONSE | authKW | 169645 | 1% | 90% | 19 |
10 | PHARMACOKINET DRUG THER Y | address | 161595 | 2% | 30% | 54 |
Web of Science journal categories |
chi_square_rank | Category | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | Mathematical & Computational Biology | 33559 | 19% | 1% | 609 |
2 | Pharmacology & Pharmacy | 15016 | 40% | 0% | 1292 |
3 | Statistics & Probability | 6564 | 11% | 0% | 366 |
4 | Biology | 6413 | 13% | 0% | 420 |
5 | Medical Informatics | 2809 | 4% | 0% | 122 |
6 | Mathematics, Applied | 2294 | 12% | 0% | 376 |
7 | Virology | 566 | 4% | 0% | 118 |
8 | Mathematics, Interdisciplinary Applications | 493 | 3% | 0% | 105 |
9 | Computer Science, Interdisciplinary Applications | 413 | 4% | 0% | 119 |
10 | Engineering, Biomedical | 225 | 3% | 0% | 86 |
Address terms |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | PHARMACOKINET DRUG THER Y | 161595 | 2% | 30% | 54 |
2 | PHARMACEUT BIOSCI | 113551 | 5% | 8% | 145 |
3 | PHARMACOMETR | 102298 | 1% | 28% | 37 |
4 | PHARMACOMETR GRP | 72649 | 1% | 41% | 18 |
5 | PL PHARMACOKINET | 58101 | 1% | 16% | 38 |
6 | CLIN PHARMACOL MODELLING SIMULAT | 57968 | 1% | 24% | 24 |
7 | UMR 738 | 45976 | 1% | 27% | 17 |
8 | PHARMACOKINET PHARMACOMETR | 44406 | 0% | 75% | 6 |
9 | PHARSIGHT CONSULTING SERV | 40292 | 0% | 58% | 7 |
10 | ADV PK PD MODELING SIMULAT | 30066 | 0% | 38% | 8 |
Journals |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
---|---|---|---|---|---|
1 | JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS | 1031874 | 8% | 41% | 253 |
2 | JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS | 153541 | 3% | 15% | 107 |
3 | AAPS JOURNAL | 43548 | 2% | 6% | 74 |
4 | INTERNATIONAL JOURNAL OF BIOMATHEMATICS | 20797 | 1% | 6% | 36 |
5 | MATHEMATICAL BIOSCIENCES AND ENGINEERING | 15140 | 1% | 4% | 35 |
6 | CLINICAL PHARMACOKINETICS | 15043 | 2% | 3% | 61 |
7 | JOURNAL OF BIOPHARMACEUTICAL STATISTICS | 13886 | 1% | 4% | 37 |
8 | JOURNAL OF CLINICAL PHARMACOLOGY | 13728 | 3% | 2% | 88 |
9 | MATHEMATICAL BIOSCIENCES | 12304 | 2% | 2% | 63 |
10 | CLINICAL PHARMACOLOGY & THERAPEUTICS | 10823 | 3% | 1% | 81 |
Author Key Words |
chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass | LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | NONMEM | 474670 | 6% | 27% | 177 | Search NONMEM | Search NONMEM |
2 | VIRUS DYNAMICS | 344725 | 2% | 61% | 57 | Search VIRUS+DYNAMICS | Search VIRUS+DYNAMICS |
3 | NONLINEAR MIXED EFFECTS MODEL | 332168 | 3% | 38% | 88 | Search NONLINEAR+MIXED+EFFECTS+MODEL | Search NONLINEAR+MIXED+EFFECTS+MODEL |
4 | INTRACELLULAR DELAY | 277555 | 1% | 94% | 30 | Search INTRACELLULAR+DELAY | Search INTRACELLULAR+DELAY |
5 | HIV DYNAMICS | 245671 | 1% | 66% | 38 | Search HIV+DYNAMICS | Search HIV+DYNAMICS |
6 | INDIRECT RESPONSE MODELS | 205590 | 1% | 83% | 25 | Search INDIRECT+RESPONSE+MODELS | Search INDIRECT+RESPONSE+MODELS |
7 | VIRAL DYNAMICS | 180398 | 2% | 38% | 48 | Search VIRAL+DYNAMICS | Search VIRAL+DYNAMICS |
8 | CTL IMMUNE RESPONSE | 169645 | 1% | 90% | 19 | Search CTL+IMMUNE+RESPONSE | Search CTL+IMMUNE+RESPONSE |
9 | PHARMACOMETRICS | 156549 | 1% | 36% | 44 | Search PHARMACOMETRICS | Search PHARMACOMETRICS |
10 | GLOBAL STABILITY | 143534 | 5% | 10% | 147 | Search GLOBAL+STABILITY | Search GLOBAL+STABILITY |
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 2 |