Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
25773 | 272 | 31.0 | 50% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
18 | 4 | THERMODYNAMICS//ENERGY & FUELS//ENGINEERING, CHEMICAL | 531182 |
283 | 3 | POWDER TECHNOLOGY//ENGINEERING, CHEMICAL//FLUIDIZATION | 42723 |
1005 | 2 | STIRRED TANK//STIRRED VESSEL//MIXING | 10375 |
25773 | 1 | CYBERNETIC MODEL//SUBSTITUTABLE SUBSTRATES//DYNAMIC METABOLIC MODEL | 272 |
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 | CYBERNETIC MODEL | authKW | 2254022 | 12% | 63% | 32 |
2 | SUBSTITUTABLE SUBSTRATES | authKW | 400933 | 2% | 71% | 5 |
3 | DYNAMIC METABOLIC MODEL | authKW | 336786 | 1% | 100% | 3 |
4 | HYBRID CYBERNETIC MODEL | authKW | 336786 | 1% | 100% | 3 |
5 | LUMPED HYBRID CYBERNETIC MODEL L HCM | authKW | 336786 | 1% | 100% | 3 |
6 | MIXED SUBSTRATE GROWTH | authKW | 336786 | 1% | 100% | 3 |
7 | DIAUXIC LAG | authKW | 252588 | 1% | 75% | 3 |
8 | BIOETHANOL PRODUCTIVITY | authKW | 224524 | 1% | 100% | 2 |
9 | CONSUMER RESOURCE RELATIONSHIP | authKW | 224524 | 1% | 100% | 2 |
10 | CONTINUOUS CULTURES CYBERNETIC MODEL | authKW | 224524 | 1% | 100% | 2 |
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 | Biotechnology & Applied Microbiology | 3327 | 47% | 0% | 127 |
2 | Microbiology | 652 | 21% | 0% | 58 |
3 | Mathematical & Computational Biology | 544 | 8% | 0% | 23 |
4 | Engineering, Chemical | 435 | 18% | 0% | 48 |
5 | Biology | 210 | 8% | 0% | 23 |
6 | Food Science & Technology | 125 | 9% | 0% | 24 |
7 | Engineering, Environmental | 77 | 5% | 0% | 13 |
8 | Water Resources | 27 | 3% | 0% | 9 |
9 | Ecology | 18 | 4% | 0% | 11 |
10 | Environmental Sciences | 9 | 5% | 0% | 13 |
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 | BIOFIOM ENGN | 112262 | 0% | 100% | 1 |
2 | BIPROC DEV | 112262 | 0% | 100% | 1 |
3 | GRP MODELING CONTROL | 112262 | 0% | 100% | 1 |
4 | MICROBIOL MICROBIAL PROD | 112262 | 0% | 100% | 1 |
5 | RAMSA WETLAND | 112262 | 0% | 100% | 1 |
6 | RAMSAR WETLANDS | 112262 | 0% | 100% | 1 |
7 | GEWASSER UTZ WASSERTECHNOL | 56130 | 0% | 50% | 1 |
8 | EAWAG SWISS FED ENVIRONM SCI TECHNOL | 37419 | 0% | 33% | 1 |
9 | ENVIRONM WATER OURCE ENGN | 24944 | 1% | 11% | 2 |
10 | BIOCHEM PHYSIOL SCI | 23631 | 1% | 11% | 2 |
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 | BIOTECHNOLOGY AND BIOENGINEERING | 18613 | 16% | 0% | 44 |
2 | ECOLOGICAL STUDIES | 8469 | 1% | 4% | 2 |
3 | BIOTECHNOLOGY PROGRESS | 5439 | 6% | 0% | 15 |
4 | ADVANCES IN MICROBIAL ECOLOGY | 5406 | 1% | 2% | 2 |
5 | ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY | 3159 | 3% | 0% | 9 |
6 | BINARY-COMPUTING IN MICROBIOLOGY | 2387 | 0% | 2% | 1 |
7 | JOURNAL OF THEORETICAL BIOLOGY | 2324 | 6% | 0% | 15 |
8 | ANNALI DI MICROBIOLOGIA ED ENZIMOLOGIA | 983 | 0% | 1% | 1 |
9 | BIOPROCESS AND BIOSYSTEMS ENGINEERING | 972 | 1% | 0% | 4 |
10 | METABOLIC ENGINEERING | 945 | 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 | YOUNG, JD , (2015) LEARNING FROM THE STEERSMAN: A NATURAL HISTORY OF CYBERNETIC MODELS.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. VOL. 54. ISSUE 42. P. 10162 -10169 | 33 | 75% | 0 |
2 | SONG, HS , LIU, CX , (2015) DYNAMIC METABOLIC MODELING OF DENITRIFYING BACTERIAL GROWTH: THE CYBERNETIC APPROACH.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. VOL. 54. ISSUE 42. P. 10221 -10227 | 27 | 84% | 0 |
3 | RAMKRISHNA, D , SONG, HS , (2012) DYNAMIC MODELS OF METABOLISM: REVIEW OF THE CYBERNETIC APPROACH.AICHE JOURNAL. VOL. 58. ISSUE 4. P. 986-997 | 30 | 61% | 12 |
4 | KOVAROVA-KOVAR, K , EGLI, T , (1998) GROWTH KINETICS OF SUSPENDED MICROBIAL CELLS: FROM SINGLE-SUBSTRATE-CONTROLLED GROWTH TO MIXED-SUBSTRATE KINETICS.MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS. VOL. 62. ISSUE 3. P. 646 -+ | 40 | 29% | 308 |
5 | MANDLI, AR , MODAK, JM , (2015) CYBERNETIC MODELING REVISITED: A METHOD FOR INFERRING THE CYBERNETIC VARIABLES U(I) FROM EXPERIMENTAL DATA.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. VOL. 54. ISSUE 42. P. 10190 -10196 | 16 | 57% | 0 |
6 | GENG, J , YUAN, JQ , (2010) CYBERNETIC MODELING BASED ON PATHWAY ANALYSIS FOR PENICILLIUM CHRYSOGENUM FED-BATCH FERMENTATION.BIOPROCESS AND BIOSYSTEMS ENGINEERING. VOL. 33. ISSUE 6. P. 665 -674 | 12 | 67% | 2 |
7 | CASASUS, AI , HAMILTON, RK , SVORONOS, SA , KOOPMAN, B , (2005) A SIMPLE MODEL FOR DIAUXIC GROWTH OF DENITRIFYING BACTERIA.WATER RESEARCH. VOL. 39. ISSUE 9. P. 1914-1920 | 9 | 100% | 5 |
8 | MANDLI, AR , MODAK, JM , (2014) OPTIMAL CONTROL ANALYSIS OF THE DYNAMIC GROWTH BEHAVIOR OF MICROORGANISMS.MATHEMATICAL BIOSCIENCES. VOL. 258. ISSUE . P. 57 -67 | 16 | 44% | 0 |
9 | ZINN, M , WITHOLT, B , EGLI, T , (2004) DUAL NUTRIENT LIMITED GROWTH: MODELS, EXPERIMENTAL OBSERVATIONS, AND APPLICATIONS.JOURNAL OF BIOTECHNOLOGY. VOL. 113. ISSUE 1-3. P. 263-279 | 25 | 32% | 47 |
10 | RAMKRISHNA, D , (2003) ON MODELING OF BIOREACTORS FOR CONTROL.JOURNAL OF PROCESS CONTROL. VOL. 13. ISSUE 7. P. 581-589 | 10 | 83% | 28 |
Classes with closest relation at Level 1 |