Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
34263 | 114 | 29.6 | 54% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
3 | 4 | PLANT SCIENCES//AGRONOMY//FOOD SCIENCE & TECHNOLOGY | 1882812 |
69 | 3 | PLANT SCIENCES//EVOLUTIONARY BIOLOGY//AMERICAN JOURNAL OF BOTANY | 83717 |
2789 | 2 | CYPERACEAE//POACEAE//ERIOCAULACEAE | 3106 |
34263 | 1 | POLLEN CLASSIFICATION//AUTOMATED PALYNOLOGY//POLLEN IDENTIFICATION | 114 |
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 | POLLEN CLASSIFICATION | authKW | 1377544 | 5% | 86% | 6 |
2 | AUTOMATED PALYNOLOGY | authKW | 803568 | 3% | 100% | 3 |
3 | POLLEN IDENTIFICATION | authKW | 669635 | 4% | 50% | 5 |
4 | AEROBIOLOGICAL MONITORING NETWORKS | authKW | 267856 | 1% | 100% | 1 |
5 | AIRBORNE POLLEN FORECAST | authKW | 267856 | 1% | 100% | 1 |
6 | APRENDIZAGEM SUPERVISIONADA | authKW | 267856 | 1% | 100% | 1 |
7 | ARTIFICIAL NEURAL NETWORK AUTOMATIC IDENTIFICATION | authKW | 267856 | 1% | 100% | 1 |
8 | BAMBOO POLLEN | authKW | 267856 | 1% | 100% | 1 |
9 | BEE POLLEN CLASSIFICATION | authKW | 267856 | 1% | 100% | 1 |
10 | C3 AND C4 POACEAE SPECIES | authKW | 267856 | 1% | 100% | 1 |
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 | Plant Sciences | 1183 | 45% | 0% | 51 |
2 | Paleontology | 675 | 11% | 0% | 12 |
3 | Geography, Physical | 186 | 7% | 0% | 8 |
4 | Microscopy | 113 | 4% | 0% | 4 |
5 | Spectroscopy | 102 | 9% | 0% | 10 |
6 | Geosciences, Multidisciplinary | 77 | 11% | 0% | 12 |
7 | Biology | 43 | 6% | 0% | 7 |
8 | Chemistry, Analytical | 43 | 10% | 0% | 11 |
9 | Entomology | 31 | 4% | 0% | 5 |
10 | Biochemical Research Methods | 28 | 6% | 0% | 7 |
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 | DIRECT EXTENS | 267856 | 1% | 100% | 1 |
2 | EHLB | 267856 | 1% | 100% | 1 |
3 | ENVIRONM SCI AGR SUSTAINABIL | 267856 | 1% | 100% | 1 |
4 | GRP PALEONECOL LANDSC E ECOL | 267856 | 1% | 100% | 1 |
5 | INOVISAO | 267856 | 1% | 100% | 1 |
6 | NOBLE MICROSCOPY | 267856 | 1% | 100% | 1 |
7 | PROGRAMA POS BOT HERBARIO | 267856 | 1% | 100% | 1 |
8 | PROSUP | 267856 | 1% | 100% | 1 |
9 | PALAEOECOL LANDSC E ECOL | 172189 | 3% | 21% | 3 |
10 | OBSERV IUEM | 133927 | 1% | 50% | 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 | GRANA | 72789 | 15% | 2% | 17 |
2 | APPLICATIONS IN PLANT SCIENCES | 10925 | 4% | 1% | 4 |
3 | REVIEW OF PALAEOBOTANY AND PALYNOLOGY | 5951 | 7% | 0% | 8 |
4 | AMERICAN BEE JOURNAL | 3279 | 4% | 0% | 4 |
5 | JOURNAL OF MICROPALAEONTOLOGY | 2892 | 2% | 1% | 2 |
6 | JOURNAL OF QUATERNARY SCIENCE | 2727 | 4% | 0% | 4 |
7 | AEROBIOLOGIA | 2237 | 2% | 0% | 2 |
8 | JOURNAL OF BIOPHOTONICS | 1426 | 2% | 0% | 2 |
9 | BANGLADESH JOURNAL OF PLANT TAXONOMY | 1365 | 1% | 1% | 1 |
10 | PALYNOLOGY | 1256 | 1% | 0% | 1 |
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 | HOLT, KA , BENNETT, KD , (2014) PRINCIPLES AND METHODS FOR AUTOMATED PALYNOLOGY.NEW PHYTOLOGIST. VOL. 203. ISSUE 3. P. 735 -742 | 18 | 67% | 15 |
2 | MARCOS, JV , NAVA, R , CRISTOBAL, G , REDONDO, R , ESCALANTE-RAMIREZ, B , BUENO, G , DENIZ, O , GONZALEZ-PORTO, A , PARDO, C , CHUNG, F , ET AL (2015) AUTOMATED POLLEN IDENTIFICATION USING MICROSCOPIC IMAGING AND TEXTURE ANALYSIS.MICRON. VOL. 68. ISSUE . P. 36 -46 | 16 | 55% | 6 |
3 | RADAESKI, JN , BAUERMANN, SG , PEREIRA, AB , (2016) POACEAE POLLEN FROM SOUTHERN BRAZIL: DISTINGUISHING GRASSLANDS (CAMPOS) FROM FORESTS BY ANALYZING A DIVERSE RANGE OF POACEAE SPECIES.FRONTIERS IN PLANT SCIENCE. VOL. 7. ISSUE . P. - | 15 | 63% | 0 |
4 | ZIMMERMAN, B , TAFINTSEVA, V , BAGCIOGLU, M , BERDAHL, MH , KOHLER, A , (2016) ANALYSIS OF ALLERGENIC POLLEN BY FTIR MICROSPECTROSCOPY.ANALYTICAL CHEMISTRY. VOL. 88. ISSUE 1. P. 803 -811 | 17 | 43% | 3 |
5 | HOLT, K , ALLEN, G , HODGSON, R , MARSLAND, S , FLENLEY, J , (2011) PROGRESS TOWARDS AN AUTOMATED TRAINABLE POLLEN LOCATION AND CLASSIFIER SYSTEM FOR USE IN THE PALYNOLOGY LABORATORY.REVIEW OF PALAEOBOTANY AND PALYNOLOGY. VOL. 167. ISSUE 3-4. P. 175-183 | 12 | 71% | 32 |
6 | JULIER, ACM , JARDINE, PE , COE, AL , GOSLING, WD , LOMAX, BH , FRASER, WT , (2016) CHEMOTAXONOMY AS A TOOL FOR INTERPRETING THE CRYPTIC DIVERSITY OF POACEAE POLLEN.REVIEW OF PALAEOBOTANY AND PALYNOLOGY. VOL. 235. ISSUE . P. 140 -147 | 19 | 44% | 0 |
7 | BAGCIOGLU, M , ZIMMERMANN, B , KOHLER, A , (2015) A MULTISCALE VIBRATIONAL SPECTROSCOPIC APPROACH FOR IDENTIFICATION AND BIOCHEMICAL CHARACTERIZATION OF POLLEN.PLOS ONE. VOL. 10. ISSUE 9. P. - | 15 | 43% | 3 |
8 | PUNYASENA, SW , TCHENG, DK , WESSELN, C , MUELLER, PG , (2012) CLASSIFYING BLACK AND WHITE SPRUCE POLLEN USING LAYERED MACHINE LEARNING.NEW PHYTOLOGIST. VOL. 196. ISSUE 3. P. 937 -944 | 11 | 61% | 11 |
9 | JOHNSRUD, S , YANG, HG , NAYAK, A , PUNYASENA, SW , (2013) SEMI-AUTOMATED SEGMENTATION OF POLLEN GRAINS IN MICROSCOPIC IMAGES: A TOOL FOR THREE IMAGING MODES.GRANA. VOL. 52. ISSUE 3. P. 181-191 | 10 | 63% | 4 |
10 | JARDINE, PE , FRASER, WT , LOMAX, BH , GOSLING, WD , (2015) THE IMPACT OF OXIDATION ON SPORE AND POLLEN CHEMISTRY.JOURNAL OF MICROPALAEONTOLOGY. VOL. 34. ISSUE . P. 139 -149 | 11 | 50% | 4 |
Classes with closest relation at Level 1 |