Journal metrics and structures: A dynamic interplay

a 2023

Journal metrics and structures: A dynamic interplay

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

Basic information

Original name

Journal metrics and structures: A dynamic interplay

Authors

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

Edition

XXII. Meeting of Biochemists and Molecular Biologists, 2023

Other information

Language

English

Type of outcome

Konferenční abstrakt

Field of Study

10608 Biochemistry and molecular biology

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Conference website

Organization unit

Central European Institute of Technology

ISBN

978-80-280-0409-5

Keywords in English

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

Abstract

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.

Links

LM2023055, research and development project

Name: Česká národní infrastruktura pro biologická data

Investor: Ministry of Education, Youth and Sports of the CR, ELIXIR-CZ: Czech National Infrastructure for Biological Data

Citovat

PORUBSKÁ, Jana, Veronika HORSKÁ, Vladimír HORSKÝ and 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 and 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.

Detailed Information on Publication Record