Journal metrics and structures: A dynamic interplay

a 2023

Journal metrics and structures: A dynamic interplay

PORUBSKÁ, Jana, Veronika HORSKÁ, Vladimír HORSKÝ a Radka SVOBODOVÁ

Základní údaje

Originální název

Journal metrics and structures: A dynamic interplay

Autoři

PORUBSKÁ, Jana, Veronika HORSKÁ, Vladimír HORSKÝ a Radka SVOBODOVÁ

Vydání

XXII. Meeting of Biochemists and Molecular Biologists, 2023

Další údaje

Jazyk

angličtina

Typ výsledku

Konferenční abstrakt

Obor

10608 Biochemistry and molecular biology

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Conference website

Organizační jednotka

Středoevropský technologický institut

ISBN

978-80-280-0409-5

Klíčová slova anglicky

PDB; PDBe; Protein Data Bank; three-dimensional macromolecular structure; validation; database; trends in quality; Journal Impact Factor; Structure Quality Metrics

Změněno: 23. 12. 2023 16:27, Mgr. Bc. Jana Porubská

Anotace

V originále

The basis of scientific research in structural bioinformatics depends on the amount of structural data stored in the Protein Data Bank (PDB). Maintaining structural integrity becomes more critical as the scientific community continually relies on structural models. This underlines the focus on structural validation, where PDB consistently documents the quality of individual structures through various quality metrics. Our research project examines the course of structural quality within various scientific journals. We discuss the relationships between structural quality metrics and journal impact factors. Our approach begins with selecting journals with a significant volume of published structures. Journals are subsequently categorized based on their respective impact factors. In the next phase, we compile a data set containing selected quality factors of these structures. Finally, through rigorous statistical analysis, we provide a detailed description of the nature of structural quality within each journal category.

Návaznosti

LM2023055, projekt VaV

Název: Česká národní infrastruktura pro biologická data

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, ELIXIR-CZ: Česká národní infrastruktura pro biologická data

Citovat

PORUBSKÁ, Jana, Veronika HORSKÁ, Vladimír HORSKÝ a Radka SVOBODOVÁ. Journal metrics and structures: A dynamic interplay. In XXII. Meeting of Biochemists and Molecular Biologists. 2023. ISBN 978-80-280-0409-5.

@proceedings{2352919,
   author = {Porubská, Jana and Horská, Veronika and Horský, Vladimír and Svobodová, Radka},
   booktitle = {XXII. Meeting of Biochemists and Molecular Biologists},
   keywords = {PDB; PDBe; Protein Data Bank; three-dimensional macromolecular structure; validation; database; trends in quality; Journal Impact Factor; Structure Quality Metrics},
   language = {eng},
   isbn = {978-80-280-0409-5},
   title = {Journal metrics and structures: A dynamic interplay},
   url = {https://setkani.sci.muni.cz/en},
   year = {2023}
}

TY  - CONF
ID  - 2352919
AU  - Porubská, Jana - Horská, Veronika - Horský, Vladimír - Svobodová, Radka
PY  - 2023
TI  - Journal metrics and structures: A dynamic interplay
SN  - 9788028004095
KW  - PDB
KW  - PDBe
KW  - Protein Data Bank
KW  - three-dimensional macromolecular structure
KW  - validation
KW  - database
KW  - trends in quality
KW  - Journal Impact Factor
KW  - Structure Quality Metrics
UR  - https://setkani.sci.muni.cz/en
N2  - The basis of scientific research in structural bioinformatics depends on the amount of structural data stored in the Protein Data Bank (PDB). Maintaining structural integrity becomes more critical as the scientific community continually relies on structural models. This underlines the focus on structural validation, where PDB consistently documents the quality of individual structures through various quality metrics. Our research project examines the course of structural quality within various scientific journals. We discuss the relationships between structural quality metrics and journal impact factors. Our approach begins with selecting journals with a significant volume of published structures. Journals are subsequently categorized based on their respective impact factors. In the next phase, we compile a data set containing selected quality factors of these structures. Finally, through rigorous statistical analysis, we provide a detailed description of the nature of structural quality within each journal category.
ER  -

PORUBSKÁ, Jana, Veronika HORSKÁ, Vladimír HORSKÝ a Radka SVOBODOVÁ. Journal metrics and structures: A dynamic interplay. In \textit{XXII. Meeting of Biochemists and Molecular Biologists}. 2023. ISBN~978-80-280-0409-5.

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