METHODS

metrics 2024

Innovative insights into biochemistry and genetics.

Introduction

METHODS is a premier journal published by Academic Press Inc Elsevier Science, dedicated to advancing the field of Biochemistry, Genetics, and Molecular Biology. With an ISSN of 1046-2023 and E-ISSN 1095-9130, this distinguished journal has established itself as a vital resource since its inception in 1990, providing high-quality research articles and methodological insights crucial for both seasoned researchers and students alike. The journal ranks in the Q1 category for miscellaneous areas within Biochemistry and Genetics, and maintains a Q2 ranking in Molecular Biology, reflecting its impact within the scientific community, evidenced by Scopus rankings that place it in the top 20% of its field. METHODS offers a platform for showcasing innovative research methods and their applications, contributing significantly to the development of new technologies and analytical techniques. Though not an open-access journal, it remains a highly regarded publication that assures readers of rigorous peer review and academic integrity, making it an essential addition to any serious researcher's library.

Metrics 2024

SCIMAGO Journal Rank1.16
Journal Impact Factor4.20
Journal Impact Factor (5 years)3.80
H-Index171
Journal IF Without Self4.20
Eigen Factor0.01
Normal Eigen Factor2.02
Influence1.21
Immediacy Index0.60
Cited Half Life22.10
Citing Half Life5.80
JCI1.31
Total Documents4418
WOS Total Citations23543
SCIMAGO Total Citations49241
SCIMAGO SELF Citations551
Scopus Journal Rank1.16
Cites / Document (2 Years)4.15
Cites / Document (3 Years)4.28
Cites / Document (4 Years)3.98

Metrics History

Rank 2024

Scopus

General Biochemistry, Genetics and Molecular Biology in Biochemistry, Genetics and Molecular Biology
Rank #36/221
Percentile 83.71
Quartile Q1
Molecular Biology in Biochemistry, Genetics and Molecular Biology
Rank #79/410
Percentile 80.73
Quartile Q1

IF (Web Of Science)

BIOCHEMICAL RESEARCH METHODS
Rank 13/85
Percentile 85.30
Quartile Q1
BIOCHEMISTRY & MOLECULAR BIOLOGY
Rank 88/313
Percentile 72.00
Quartile Q2

JCI (Web Of Science)

BIOCHEMICAL RESEARCH METHODS
Rank 7/85
Percentile 91.76
Quartile Q1
BIOCHEMISTRY & MOLECULAR BIOLOGY
Rank 44/313
Percentile 85.94
Quartile Q1

Quartile History

Similar Journals

BMC Medical Research Methodology

Advancing the Standards of Medical Research Methodology
Publisher: BMCISSN: Frequency: 1 issue/year

BMC Medical Research Methodology is a prestigious open-access journal published by BMC, dedicated to advancing the field of medical research methodologies. Launched in 2001, the journal has established itself as a vital resource for researchers, reflecting its high-quality contributions with a strong Q1 ranking in both Epidemiology and Health Informatics as of 2023. As a scholarly platform, it offers broad access globally, ensuring that the latest developments in research methodology are readily available to professionals, scholars, and students alike. With its commitment to enhancing the rigor and transparency of medical research, BMC Medical Research Methodology plays a critical role in shaping the future of evidence-based practices, making it an essential read for anyone involved in medical research. The journal is based in the United Kingdom at CAMPUS, 4 Crinan St, London N1 9XW, England, and provides comprehensive access options to facilitate the dissemination of knowledge and foster collaboration across the global research community.

Stats

Transforming data into insights through rigorous research.
Publisher: MDPIISSN: Frequency:

Stats, published by MDPI, serves as an invaluable open access platform dedicated to the fields of statistics and probability. Since its inception in 2018, the journal has been committed to disseminating high-quality research and promoting innovation in statistical methodologies through a rigorous peer-review process. Operating from Basel, Switzerland, Stats offers a global reach and aims to foster collaboration among researchers, professionals, and graduate students alike. With an impact factor indicating its emerging significance, the journal resides in the Q4 quartile of the statistics and probability category for 2023 according to Scopus rankings. This positions it within the evolving landscape of statistical research, enhancing its visibility and accessibility. Researchers are encouraged to contribute to this dynamic field and benefit from the journal's dedication to open access publishing, ensuring that research findings can reach a broad audience without barriers.

BIOMETRICS

Empowering Researchers with Rigorous Peer-Reviewed Findings
Publisher: WILEYISSN: 0006-341XFrequency: 4 issues/year

BIOMETRICS, published by WILEY, stands as a prestigious journal that has made substantial contributions across diverse fields, including Agricultural and Biological Sciences, Applied Mathematics, and Biochemistry. With an impressive track record from its inception in 1946 and continuing through to 2024, this journal is recognized for its rigorous peer-reviewed research and high-impact findings, evidenced by its Q1 ranking in various categories such as Medicine and Statistics. Researchers and professionals alike will find a wealth of knowledge within its pages, making it an essential resource for anyone involved in these dynamic and evolving disciplines. While BIOMETRICS does not offer open access, its reputation for delivering high-quality research ensures its continued importance in advancing the scientific ecosystem. For those seeking to stay ahead in their fields, engaging with the latest studies published in this journal is indispensable.

Quantitative Methods for Psychology

Fostering Collaboration Through Open-Access Research
Publisher: UNIV MONTREAL, DEPT PSYCHOLOGIEISSN: 1913-4126Frequency: 3 issues/year

Quantitative Methods for Psychology, with ISSN 1913-4126 and E-ISSN 2292-1354, is a premier open-access journal published by the University of Montreal, Department of Psychology. Since its inception in 2005, this journal has served as a vital resource for the dissemination of cutting-edge research and methodological advancements in psychological science. With a focus on quantitative approaches, it welcomes submissions that explore innovative statistical techniques, data analysis methodologies, and empirical studies that enhance understanding in psychology. The journal’s commitment to accessibility ensures that researchers, practitioners, and students alike can benefit from the wealth of knowledge it offers, fostering collaboration and advancing the field. As an integral platform for sharing significant findings and best practices, Quantitative Methods for Psychology is positioned to make substantial contributions to the landscape of psychological research.

Electronic Journal of Applied Statistical Analysis

Connecting Theory and Practice in Statistical Analysis
Publisher: UNIV STUDI SALENTOISSN: 2070-5948Frequency: 1 issue/year

Welcome to the Electronic Journal of Applied Statistical Analysis, a pivotal platform for researchers and practitioners in the domains of Statistics and Probability, as well as Modeling and Simulation. Published by Università del Salento in Italy, this journal has been dedicated to disseminating valuable insights and advancements in applied statistical methodology since its inception in 2008. With its ISSN of 2070-5948, the journal operates within an esteemed academic framework, contributing significantly to the field despite its current Q4 ranking in both Statistics and Probability and Modeling and Simulation categories as of 2023. As we continue to explore complex statistical models and simulation techniques, the journal encourages submissions that advance theoretical and practical understandings, inviting the global academic community to engage with transformative research endeavors. For those looking to stay informed and ahead in the dynamic world of applied statistics, the Electronic Journal of Applied Statistical Analysis is an essential resource.

PSYCHOLOGICAL METHODS

Leading the Charge in Innovative Psychological Research Methods
Publisher: AMER PSYCHOLOGICAL ASSOCISSN: 1082-989XFrequency: 4 issues/year

Psychological Methods, published by the American Psychological Association, is a leading journal in the field of psychology, recognized for its rigorous approach to the methodology of psychological research. With an ISSN of 1082-989X and an E-ISSN of 1939-1463, this esteemed journal facilitates the dissemination of innovative methods and analysis techniques that are critical for advancing psychological science. Its impressive ranking as Q1 in both the History and Philosophy of Science and Psychology (miscellaneous) categories underscores its influence, while its Scopus rank places it in the top 2 out of 97 journals in its field, reflecting its high visibility and importance among researchers, professionals, and students. Although not an open-access journal, Psychological Methods continues to serve as a vital resource for the latest advancements and discussions, aiming to enhance the quality of psychological research globally. With a publication history spanning from 1996 to 2024, it remains a cornerstone for scholars committed to elevating the methodological standards prevalent within the discipline.

Communications for Statistical Applications and Methods

Empowering Researchers with Practical Statistical Solutions
Publisher: KOREAN STATISTICAL SOCISSN: 2287-7843Frequency: 6 issues/year

Communications for Statistical Applications and Methods is a vital academic journal dedicated to advancing the field of statistics, with a particular focus on practical applications and methodologies. Published by the Korean Statistical Society, this journal has become a significant resource for researchers, practitioners, and students engaged in statistical sciences and its diverse applications in various fields including finance and modeling. Operating without an Open Access format, the journal is accessible through institutional subscriptions, allowing a broad audience to benefit from its insights. The journal covers works from its inception in 2017 to 2024, and although it currently ranks in the Q4 and Q3 quartiles across various mathematical and statistical categories, its commitment to quality research makes it a noteworthy platform for emerging trends and innovations. The journal not only serves to disseminate knowledge but also fosters collaboration among statisticians, ensuring that crucial advancements in statistical applications are communicated effectively.

METRIKA

Exploring the Depths of Probability and Application.
Publisher: SPRINGER HEIDELBERGISSN: 0026-1335Frequency: 6 issues/year

METRIKA is a distinguished journal published by Springer Heidelberg, specializing in the field of Statistics and Probability. Since its inception in 1958, this journal has been pivotal in advancing the study and application of statistical methods, theory, and research. With an impressive academic legacy extending to 2024, METRIKA holds a Q2 category ranking in both Statistics and Probability and Statistics, Probability and Uncertainty, as of 2023, which underscores its significance within the scholarly community. Researchers and professionals will find that METRIKA not only emphasizes the recent developments and applications in the field but also aims to foster an interdisciplinary dialogue among statisticians and data scientists. Its contributions are invaluable for those seeking to navigate the complexities of statistical methodologies. Although the journal primarily operates under a traditional access model, its commitment to excellence and relevance in statistical discourse ensures that it remains an essential resource for academics, practitioners, and students alike.

STATISTICA NEERLANDICA

Innovating methodologies for a deeper understanding of statistics.
Publisher: WILEYISSN: 0039-0402Frequency: 4 issues/year

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Exploring the Frontiers of Statistical Methodology
Publisher: OXFORD UNIV PRESSISSN: 1369-7412Frequency: 5 issues/year

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, published by OXFORD UNIVERSITY PRESS, is a leading academic journal dedicated to advancing the field of statistical methodology. With a distinguished Q1 ranking in both Statistics and Probability and Statistics, Probability and Uncertainty as of 2023, this journal stands at the forefront of statistical research, serving as a vital resource for researchers, professionals, and students alike. The journal has been committed to fostering innovative statistical techniques and methodologies since its inception in 1997, covering a wide scope of topics that push the boundaries of statistical applications in various disciplines. Based in the United Kingdom, the journal maintains its reputation through rigorous peer-review practices and high-quality content, making it an indispensable platform for those looking to disseminate their findings and engage with current trends in statistical science. Although the journal does not offer open access, the impact and scholarly significance of its articles remain profoundly influential in shaping contemporary statistical discourse.