Statistics in Biosciences

SJR Rank #15,480H-index: 23SJR: 0.354Best quartile: Q3APC: US$3,290
Journal website: aims, scope and author guidelines
Publisher

Springer

Country

United States

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)Q3
  • Statistics and ProbabilityQ3

Areas: Biochemistry, Genetics and Molecular Biology · Mathematics

Most published research topics

Statistical Methods and InferenceStatistical Methods in Clinical TrialsStatistical Methods and Bayesian InferenceAdvanced Causal Inference TechniquesGene expression and cancer classificationHealth Systems, Economic Evaluations, Quality of LifeOptimal Experimental Design MethodsBioinformatics and Genomic NetworksBayesian Methods and Mixture ModelsGenetic Associations and Epidemiology

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0306090120

Documents per Year

20222025020406080

Detailed Information

ISSN

1867-1764, 1867-1772

SJR Best Quartile

Q3

Region

Northern America

Citations per Document (2 years)

0.58

References per Document

38.28

Coverage

2009-2026

Scope

Statistics in Biosciences (SIB) is published three times a year in print and electronic form. It aims at development and application of statistical methods and their interface with other quantitative methods, such as computational and mathematical methods, in biological and life science, health science, and biopharmaceutical and biotechnological science. SIB publishes scientific papers and review articles in four sections, with the first two sections as the primary sections. Original Articles publish novel statistical and quantitative methods in biosciences. The Bioscience Case Studies and Practice Articles publish papers that advance statistical practice in biosciences, such as case studies, innovative applications of existing methods that further understanding of subject-matter science, evaluation of existing methods and data sources. Review Articles publish papers that review an area of statistical and quantitative methodology, software, and data sources in biosciences. Commentaries provide perspectives of research topics or policy issues that are of current quantitative interest in biosciences, reactions to an article published in the journal, and scholarly essays. Substantive science is essential in motivating and demonstrating the methodological development and use for an article to be acceptable. Articles published in SIB share the goal of promoting evidence-based real world practice and policy making through effective and timely interaction and communication of statisticians and quantitative researchers with subject-matter scientists in biosciences.

Metrics from SCImago Journal Rank 2025. View on SCImago