Statistical Applications in Genetics and Molecular Biology

metrics 2024

Connecting Theory and Application in Biological Statistics

Introduction

Statistical Applications in Genetics and Molecular Biology, published by WALTER DE GRUYTER GMBH, serves as a vital academic platform for researchers and professionals dedicated to the integration of statistical methodologies within the fields of genetics and molecular biology. Established in Germany, this interdisciplinary journal, with an ISSN of 2194-6302 and E-ISSN 1544-6115, seeks to bridge the gap between statistical theory and biological applications, making it an essential reading for those engaged in data analysis, biological research, and computational methods. Despite its current Q4 ranking in key categories such as Computational Mathematics and Genetics, the journal continues to strive for academic rigor and relevance, addressing contemporary challenges and advancements in the field. The journal encourages the submission of high-quality, peer-reviewed research that showcases innovative statistical approaches to genetic and molecular data, providing valuable insights and fostering collaboration among scientists. Exploratory or applied studies that demonstrate effective statistical applications are particularly welcomed, ensuring that both novel and established methodologies are discussed, alongside practical case studies that advance the understanding of biological phenomena. As an open-access journal, it aims to widen the accessibility of cutting-edge research, emphasizing the importance of transparency and sharing knowledge among the scientific community.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor0.80
Journal Impact Factor (5 years)0.70
H-Index-
Journal IF Without Self0.80
Eigen Factor0.00
Normal Eigen Factor0.04
Influence0.31
Immediacy Index0.10
Cited Half Life18.00
Citing Half Life10.00
JCI0.20
Total Documents-
WOS Total Citations1407
SCIMAGO Total Citations-
SCIMAGO SELF Citations-
Scopus Journal Rank-
Cites / Document (2 Years)-
Cites / Document (3 Years)-
Cites / Document (4 Years)-

Metrics History

Rank 2024

IF (Web Of Science)

BIOCHEMISTRY & MOLECULAR BIOLOGY
Rank 301/313
Percentile 4.00
Quartile Q4
MATHEMATICAL & COMPUTATIONAL BIOLOGY
Rank 60/65
Percentile 8.50
Quartile Q4
STATISTICS & PROBABILITY
Rank 109/168
Percentile 35.40
Quartile Q3

JCI (Web Of Science)

BIOCHEMISTRY & MOLECULAR BIOLOGY
Rank 298/313
Percentile 4.79
Quartile Q4
MATHEMATICAL & COMPUTATIONAL BIOLOGY
Rank 63/65
Percentile 3.08
Quartile Q4
STATISTICS & PROBABILITY
Rank 159/168
Percentile 5.36
Quartile Q4

Quartile History

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