Exploring the relationship between structural quality and
journal impact factor

a 2023

Exploring the relationship between structural quality and journal impact factor

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

Základní údaje

Originální název

Exploring the relationship between structural quality and journal impact factor

Autoři

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

Vydání

3D-BioInfo | ICSB 3D-SIG | ELIXIR Czech Republic Community Meeting in Structural Bioinformatics, 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

Označené pro přenos do RIV

Organizační jednotka

Středoevropský technologický institut

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 16:37, Mgr. Bc. Jana Porubská

Anotace

V originále

In structural bioinformatics, scientific research heavily depends on the structural data stored in the Protein Data Bank (PDB). The scientific community's widespread utilization of structural models puts pressure on the integrity of these structures. Consequently, a profound emphasis exists on structural validation, with the PDB providing detailed validation reports with various quality attributes. Our project embarks on an exploration of structural quality across different scientific journals. We investigate the interplay between structural quality metrics and the journal impact factor. Our methodology involves a selection of journals, categorizing them based on their impact factor, and the compilation of a dataset containing selected quality factors of these structures. Finally, our analysis uses statistical methods to describe the dynamic nature of the 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. Exploring the relationship between structural quality and journal impact factor. In 3D-BioInfo | ICSB 3D-SIG | ELIXIR Czech Republic Community Meeting in Structural Bioinformatics. 2023.

@proceedings{2352922,
   author = {Porubská, Jana and Horská, Veronika and Horský, Vladimír and Svobodová, Radka},
   booktitle = {3D-BioInfo | ICSB 3D-SIG | ELIXIR Czech Republic Community Meeting in Structural Bioinformatics},
   keywords = {PDB; PDBe; Protein Data Bank; three-dimensional macromolecular structure; validation; database; trends in quality; Journal Impact Factor; Structure Quality Metrics},
   language = {eng},
   title = {Exploring the relationship between structural quality and journal impact factor},
   url = {https://www.xray.cz/3d-bio-2023/default.htm},
   year = {2023}
}

TY  - CONF
ID  - 2352922
AU  - Porubská, Jana - Horská, Veronika - Horský, Vladimír - Svobodová, Radka
PY  - 2023
TI  - Exploring the relationship between structural quality and journal impact factor
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://www.xray.cz/3d-bio-2023/default.htm
N2  - In structural bioinformatics, scientific research heavily depends on the structural data stored in the Protein Data Bank (PDB). The scientific community's widespread utilization of structural models puts pressure on the integrity of these structures. Consequently, a profound emphasis exists on structural validation, with the PDB providing detailed validation reports with various quality attributes. Our project embarks on an exploration of structural quality across different scientific journals. We investigate the interplay between structural quality metrics and the journal impact factor. Our methodology involves a selection of journals, categorizing them based on their impact factor, and the compilation of a dataset containing selected quality factors of these structures. Finally, our analysis uses statistical methods to describe the dynamic nature of the structural quality within each journal category.
ER  -

PORUBSKÁ, Jana; Veronika HORSKÁ; Vladimír HORSKÝ a Radka SVOBODOVÁ. Exploring the relationship between structural quality and journal impact factor. In \textit{3D-BioInfo $|$ ICSB 3D-SIG $|$ ELIXIR Czech Republic Community Meeting in Structural Bioinformatics}. 2023.

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