Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
24470 | 311 | 29.5 | 65% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
15 | 4 | MATHEMATICS//MATHEMATICS, APPLIED//MATH | 719832 |
355 | 3 | PERMANENCE//GLOBAL STABILITY//HOPF BIFURCATION | 34946 |
2260 | 2 | ACTIVE PARTICLES//BRANCHING PROCESS//TUMOR GROWTH | 4674 |
24470 | 1 | QUANTITAT SCI BIOMED//CFSE//LABEL STRUCTURED POPULATION DYNAMICS | 311 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | QUANTITAT SCI BIOMED | address | 908885 | 6% | 51% | 18 |
2 | CFSE | authKW | 804275 | 10% | 26% | 32 |
3 | LABEL STRUCTURED POPULATION DYNAMICS | authKW | 589104 | 2% | 100% | 6 |
4 | LYMPHOCYTE DIVISION | authKW | 392736 | 1% | 100% | 4 |
5 | SMITH MARTIN MODEL | authKW | 392736 | 1% | 100% | 4 |
6 | SCI COMPUTAT | address | 359673 | 20% | 6% | 62 |
7 | CELL DIVISION NUMBER | authKW | 314187 | 1% | 80% | 4 |
8 | CARBOXYFLUORESCEIN DIACETATE SUCCINIMIDYL ESTER | authKW | 267270 | 2% | 39% | 7 |
9 | EQUIPE CYTOL QUANTITAT | address | 220912 | 1% | 75% | 3 |
10 | PKH DYES | authKW | 220912 | 1% | 75% | 3 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Mathematical & Computational Biology | 1884 | 14% | 0% | 45 |
2 | Biochemical Research Methods | 1128 | 21% | 0% | 64 |
3 | Immunology | 995 | 28% | 0% | 87 |
4 | Mathematics, Applied | 511 | 17% | 0% | 53 |
5 | Cell Biology | 440 | 21% | 0% | 64 |
6 | Biology | 297 | 9% | 0% | 29 |
7 | Cell & Tissue Engineering | 84 | 2% | 0% | 5 |
8 | Mathematics, Interdisciplinary Applications | 46 | 3% | 0% | 10 |
9 | Transplantation | 45 | 3% | 0% | 9 |
10 | Mathematics | 29 | 6% | 0% | 18 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | QUANTITAT SCI BIOMED | 908885 | 6% | 51% | 18 |
2 | SCI COMPUTAT | 359673 | 20% | 6% | 62 |
3 | EQUIPE CYTOL QUANTITAT | 220912 | 1% | 75% | 3 |
4 | ICREA INFECT BIOL | 204544 | 2% | 42% | 5 |
5 | MATH SCI COMPUTAT | 120836 | 1% | 31% | 4 |
6 | CAN FLOW CYTOMETRY CELL SORTING IL | 98184 | 0% | 100% | 1 |
7 | CELL SYST DYNAM | 98184 | 0% | 100% | 1 |
8 | DYNAM CELLULAIREIBNS ALBERT BONNIOT | 98184 | 0% | 100% | 1 |
9 | ENGLERT CELL ANAL NORRIS COTTON CANC | 98184 | 0% | 100% | 1 |
10 | EQUIPE MCIT | 98184 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF INVERSE AND ILL-POSED PROBLEMS | 31160 | 4% | 3% | 11 |
2 | MATHEMATICAL BIOSCIENCES AND ENGINEERING | 13106 | 3% | 1% | 10 |
3 | CYTOMETRY PART A | 13046 | 5% | 1% | 14 |
4 | IMMUNOLOGY AND CELL BIOLOGY | 7230 | 4% | 1% | 13 |
5 | JOURNAL OF IMMUNOLOGICAL METHODS | 4473 | 7% | 0% | 21 |
6 | CYTOMETRY | 3611 | 3% | 0% | 10 |
7 | JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES | 3562 | 1% | 1% | 4 |
8 | COMPUTER GRAPHICS-US | 1691 | 0% | 2% | 1 |
9 | JOURNAL OF MATHEMATICAL BIOLOGY | 1514 | 2% | 0% | 6 |
10 | MATHEMATICAL MODELLING OF NATURAL PHENOMENA | 1440 | 1% | 0% | 3 |
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. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | BANKS, HT , TOMPSON, WC , PELIGERO, C , GIEST, S , ARGILAGUET, J , MEYERHANS, A , (2012) A DIVISION-DEPENDENT COMPARTMENTAL MODEL FOR COMPUTING CELL NUMBERS IN CFSE-BASED LYMPHOCYTE PROLIFERATION ASSAYS.MATHEMATICAL BIOSCIENCES AND ENGINEERING. VOL. 9. ISSUE 4. P. 699 -736 | 39 | 78% | 6 |
2 | BANKS, HT , KAPRAUN, DF , THOMPSON, WC , PELIGERO, C , ARGILAGUET, J , MEYERHANS, A , (2013) A NOVEL STATISTICAL ANALYSIS AND INTERPRETATION OF FLOW CYTOMETRY DATA.JOURNAL OF BIOLOGICAL DYNAMICS. VOL. 7. ISSUE 1. P. 96-132 | 27 | 84% | 4 |
3 | BANKS, HT , SUTTON, KL , THOMPSON, WC , BOCHAROV, G , DOUMIC, M , SCHENKEL, T , ARGILAGUET, J , GIEST, S , PELIGERO, C , MEYERHANS, A , (2011) A NEW MODEL FOR THE ESTIMATION OF CELL PROLIFERATION DYNAMICS USING CFSE DATA.JOURNAL OF IMMUNOLOGICAL METHODS. VOL. 373. ISSUE 1-2. P. 143-160 | 30 | 73% | 11 |
4 | BANKS, HT , THOMPSON, WC , (2012) MATHEMATICAL MODELS OF DIVIDING CELL POPULATIONS: APPLICATION TO CFSE DATA.MATHEMATICAL MODELLING OF NATURAL PHENOMENA. VOL. 7. ISSUE 5. P. 24 -52 | 25 | 69% | 3 |
5 | BANKS, HT , CHOI, A , HUFFMAN, T , NARDINI, J , POAG, L , THOMPSON, WC , (2013) QUANTIFYING CFSE LABEL DECAY IN FLOW CYTOMETRY DATA.APPLIED MATHEMATICS LETTERS. VOL. 26. ISSUE 5. P. 571 -577 | 15 | 100% | 4 |
6 | HROSS, S , HASENAUER, J , (2016) ANALYSIS OF CFSE TIME-SERIES DATA USING DIVISION-, AGE- AND LABEL-STRUCTURED POPULATION MODELS.BIOINFORMATICS. VOL. 32. ISSUE 15. P. 2321 -2329 | 18 | 69% | 1 |
7 | LUZYANINA, T , CUPOVIC, J , LUDEWIG, B , BOCHAROV, G , (2014) MATHEMATICAL MODELS FOR CFSE LABELLED LYMPHOCYTE DYNAMICS: ASYMMETRY AND TIME-LAG IN DIVISION.JOURNAL OF MATHEMATICAL BIOLOGY. VOL. 69. ISSUE 6-7. P. 1547 -1583 | 23 | 56% | 2 |
8 | BOCHAROV, G , LUZYANINA, T , CUPOVIC, J , LUDEWIG, B , (2013) ASYMMETRY OF CELL DIVISION IN CFSE-BASED LYMPHOCYTE PROLIFERATION ANALYSIS.FRONTIERS IN IMMUNOLOGY. VOL. 4. ISSUE . P. - | 24 | 48% | 13 |
9 | KAN, A , PAVLYSHYN, D , MARKHAM, JF , DOWLING, MR , HEINZEL, S , ZHOU, JHS , MARCHINGO, JM , HODGKIN, PD , (2016) STOCHASTIC MEASUREMENT MODELS FOR QUANTIFYING LYMPHOCYTE RESPONSES USING FLOW CYTOMETRY.PLOS ONE. VOL. 11. ISSUE 1. P. - | 17 | 68% | 0 |
10 | BANKS, HT , KAPRAUN, DF , LINK, KG , THOMPSON, WC , PELIGERO, C , ARGILAGUET, J , MEYERHANS, A , (2015) ANALYSIS OF VARIABILITY IN ESTIMATES OF CELL PROLIFERATION PARAMETERS FOR CYTON-BASED MODELS USING CFSE-BASED FLOW CYTOMETRY DATA.JOURNAL OF INVERSE AND ILL-POSED PROBLEMS. VOL. 23. ISSUE 2. P. 135 -171 | 12 | 92% | 1 |
Classes with closest relation at Level 1 |