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Obtaining statistical data

Projects / Programmes source: ARIS

Systems biology informed deep learning for interpreting regulatory principles of plant growth and defence

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Research activity

Code Science Field Subfield
2.06.00  Engineering sciences and technologies  Systems and cybernetics   

Code Science Field
2.02  Engineering and Technology  Electrical engineering, Electronic engineering, Information engineering 
Keywords
Systems biology, deep learning, metabolic modeling, bioinformatics, plant biotechnology, food security
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
3,526.33
A''
1,310.53
A'
2,466.57
A1/2
2,680.82
CI10
5,598
CImax
271
h10
39
A1
13.74
A3
4.28
Data for the last 5 years (citations for the last 10 years) on June 28, 2024; A3 for period 2018-2022
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS  229  6,425  5,385  23.52 
Scopus  258  7,503  6,282  24.35 
Researchers (7)
no. Code Name and surname Research area Role Period No. of publications
1.  12688  PhD Kristina Gruden  Biotechnology  Researcher  2021 - 2024  0 
2.  29617  PhD Marko Petek  Biotechnology  Researcher  2021 - 2024  0 
3.  34502  PhD Živa Ramšak  Biology  Researcher  2021 - 2024  0 
4.  50578  PhD Eva Turk  Biology  Researcher  2022 - 2024  0 
5.  39320  PhD Maja Zagorščak  Interdisciplinary research  Researcher  2021 - 2024  0 
6.  32446  PhD Jan Zrimec  Biochemistry and molecular biology  Head  2021 - 2024  0 
7.  27522  PhD Anže Županič  Systems and cybernetics  Researcher  2021 - 2024  0 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0105  National Institute of Biology  Ljubljana  5055784  0 
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