Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
17099 | 617 | 38.5 | 51% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
4 | 4 | ENVIRONMENTAL SCIENCES//GEOSCIENCES, MULTIDISCIPLINARY//METEOROLOGY & ATMOSPHERIC SCIENCES | 1766162 |
14 | 3 | OCEANOGRAPHY//JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS//JOURNAL OF PHYSICAL OCEANOGRAPHY | 127273 |
733 | 2 | LIMNOLOGY//EUTROPHICATION//PHYTOPLANKTON | 12598 |
17099 | 1 | UMR 5576//ECOL VERTEBRATE ZOOL//ECOLOGICAL INFORMATICS | 617 |
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 | UMR 5576 | address | 269831 | 3% | 32% | 17 |
2 | ECOL VERTEBRATE ZOOL | address | 250676 | 5% | 17% | 29 |
3 | ECOLOGICAL INFORMATICS | journal | 213761 | 9% | 8% | 55 |
4 | ECOLOGICAL MODELLING | journal | 206594 | 28% | 2% | 175 |
5 | KOHONEN ARTIFICIAL NEURAL NETWORK | authKW | 178155 | 1% | 60% | 6 |
6 | CESAC | address | 168897 | 3% | 21% | 16 |
7 | LADYBIO | address | 154639 | 2% | 31% | 10 |
8 | CONNECTION WEIGHTS | authKW | 131967 | 1% | 67% | 4 |
9 | LAKE CATEGORIES | authKW | 111348 | 0% | 75% | 3 |
10 | BIOSCI ENGN AGR SCI | address | 98978 | 0% | 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 | Ecology | 9610 | 44% | 0% | 274 |
2 | Environmental Sciences | 1122 | 22% | 0% | 134 |
3 | Limnology | 946 | 5% | 0% | 30 |
4 | Marine & Freshwater Biology | 911 | 12% | 0% | 73 |
5 | Computer Science, Interdisciplinary Applications | 422 | 8% | 0% | 47 |
6 | Water Resources | 386 | 7% | 0% | 45 |
7 | Fisheries | 382 | 5% | 0% | 32 |
8 | Engineering, Environmental | 345 | 6% | 0% | 40 |
9 | Computer Science, Artificial Intelligence | 88 | 4% | 0% | 23 |
10 | Agriculture, Multidisciplinary | 49 | 2% | 0% | 14 |
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 | UMR 5576 | 269831 | 3% | 32% | 17 |
2 | ECOL VERTEBRATE ZOOL | 250676 | 5% | 17% | 29 |
3 | CESAC | 168897 | 3% | 21% | 16 |
4 | LADYBIO | 154639 | 2% | 31% | 10 |
5 | BIOSCI ENGN AGR SCI | 98978 | 0% | 100% | 2 |
6 | GUM JEONG GU | 98978 | 0% | 100% | 2 |
7 | ENVIRONM TOXICOL AQUAT ECOL | 87943 | 4% | 7% | 27 |
8 | DIDACT BIOL BIO ERS STUDIES | 65984 | 0% | 67% | 2 |
9 | ECOSYST SCI GRP | 65984 | 0% | 67% | 2 |
10 | KERMIT UNIT KNOWLEDGE BASED SYST | 65984 | 0% | 67% | 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 | ECOLOGICAL INFORMATICS | 213761 | 9% | 8% | 55 |
2 | ECOLOGICAL MODELLING | 206594 | 28% | 2% | 175 |
3 | ENVIRONMENTAL MODELLING & SOFTWARE | 7692 | 3% | 1% | 21 |
4 | HARVARD ARCHITECTURE REVIEW | 4947 | 0% | 10% | 1 |
5 | JOURNAL OF HYDROINFORMATICS | 3811 | 1% | 1% | 7 |
6 | AQUATIC ECOLOGY | 2504 | 1% | 1% | 6 |
7 | JOURNAL OF ENVIRONMENTAL INFORMATICS | 2482 | 1% | 1% | 4 |
8 | PADDY AND WATER ENVIRONMENT | 2256 | 1% | 1% | 5 |
9 | ANNALES DE LIMNOLOGIE-INTERNATIONAL JOURNAL OF LIMNOLOGY | 1624 | 1% | 1% | 5 |
10 | KNOWLEDGE AND MANAGEMENT OF AQUATIC ECOSYSTEMS | 1274 | 0% | 1% | 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 | DEDECKER, AP , GOETHALS, PLM , GABRIELS, W , DE PAUW, N , (2004) OPTIMIZATION OF ARTIFICIAL NEURAL NETWORK (ANN) MODEL DESIGN FOR PREDICTION OF MACROINVERTEBRATES IN THE ZWALM RIVER BASIN (FLANDERS, BELGIUM).ECOLOGICAL MODELLING. VOL. 174. ISSUE 1-2. P. 161-173 | 24 | 75% | 58 |
2 | MOUTON, AM , DEDECKER, AP , LEK, S , GOETHALS, PLM , (2010) SELECTING VARIABLES FOR HABITAT SUITABILITY OF ASELLUS (CRUSTACEA, ISOPODA) BY APPLYING INPUT VARIABLE CONTRIBUTION METHODS TO ARTIFICIAL NEURAL NETWORK MODELS.ENVIRONMENTAL MODELING & ASSESSMENT. VOL. 15. ISSUE 1. P. 65 -79 | 22 | 67% | 13 |
3 | OLDEN, JD , JACKSON, DA , (2002) ILLUMINATING THE "BLACK BOX": A RANDOMIZATION APPROACH FOR UNDERSTANDING VARIABLE CONTRIBUTIONS IN ARTIFICIAL NEURAL NETWORKS.ECOLOGICAL MODELLING. VOL. 154. ISSUE 1-2. P. 135 -150 | 23 | 61% | 241 |
4 | OZESMI, SL , TAN, CO , OZESMI, U , (2006) METHODOLOGICAL ISSUES IN BUILDING, TRAINING, AND TESTING ARTIFICIAL NEURAL NETWORKS IN ECOLOGICAL APPLICATIONS.ECOLOGICAL MODELLING. VOL. 195. ISSUE 1-2. P. 83-93 | 21 | 66% | 66 |
5 | GOETHALS, PLM , DEDECKER, AP , GABRIELS, W , LEK, S , DE PAUW, N , (2007) APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS PREDICTING MACROINVERTEBRATES IN FRESHWATERS.AQUATIC ECOLOGY. VOL. 41. ISSUE 3. P. 491 -508 | 33 | 40% | 39 |
6 | DEDECKER, AP , GOETHALS, PLM , D'HEYGERE, T , GEVREY, M , LEK, S , DE PAUW, N , (2005) APPLICATION OF ARTIFICIAL NEURAL NETWORK MODELS TO ANALYSE THE RELATIONSHIPS BETWEEN GAMMARUS PULEX L. (CRUSTACEA, AMPHIPODA) AND RIVER CHARACTERISTICS.ENVIRONMENTAL MONITORING AND ASSESSMENT. VOL. 111. ISSUE 1-3. P. 223-241 | 23 | 64% | 21 |
7 | LEE, G , OTHMAN, F , IBRAHIM, S , JANG, M , (2016) DETERMINATION OF THE FORECASTING-MODEL PARAMETERS BY STATISTICAL ANALYSIS FOR DEVELOPMENT OF ALGAE WARNING SYSTEM.DESALINATION AND WATER TREATMENT. VOL. 57. ISSUE 55. P. 26773 -26782 | 21 | 53% | 0 |
8 | KRUK, A , PENCZAK, T , (2013) NATURAL REGENERATION OF FISH ASSEMBLAGES IN THE PILICA RIVER AFTER A REDUCTION OF POINT-SOURCE POLLUTION.RIVER RESEARCH AND APPLICATIONS. VOL. 29. ISSUE 4. P. 502-511 | 18 | 62% | 7 |
9 | TIRELLI, T , GAMBA, M , PESSANI, D , (2012) SUPPORT VECTOR MACHINES TO MODEL PRESENCE/ABSENCE OF ALBURNUS ALBURNUS ALBORELLA (TELEOSTEA, CYPRINIDAE) IN NORTH-WESTERN ITALY: COMPARISON WITH OTHER MACHINE LEARNING TECHNIQUES.COMPTES RENDUS BIOLOGIES. VOL. 335. ISSUE 10-11. P. 680 -686 | 25 | 45% | 2 |
10 | ADAMCZYK, JJ , KURZAC, M , PARK, YS , KRUK, A , (2013) APPLICATION OF A KOHONEN'S SELF-ORGANIZING MAP FOR EVALUATION OF LONG-TERM CHANGES IN FOREST VEGETATION.JOURNAL OF VEGETATION SCIENCE. VOL. 24. ISSUE 2. P. 405-414 | 18 | 58% | 3 |
Classes with closest relation at Level 1 |