Statistical Applications in Genetics and Molecular Biology
Impact Factor & Key Scientometrics

Statistical Applications in Genetics and Molecular Biology
Overview

Impact Factor

0.419

H Index

47

Impact Factor

0.674

I. Basic Journal Info

Country

Germany
Journal ISSN: 15446115, 21946302
Publisher: Walter de Gruyter GmbH
History: 2004-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Statistical Applications in Genetics and Molecular Biology
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

0.419

by WOS

Ranking

12505

by WOS

Statistical Applications in Genetics and Molecular Biology
SJR, SJR Impact Factor and H Index

H Index

47

SJR

0.239

Scopus Impact Factor

0.674

Statistical Applications in Genetics and Molecular Biology
SJR Impact Factor 2-year, 3-year, 4-year

2-year
Impact Factor

0.674

3-year
Impact Factor

0.773

4-year
Impact Factor

0.674

Scope/Description:

Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.

II. Science Citation Report (SCR)



Statistical Applications in Genetics and Molecular Biology
SCR Impact Factor

Statistical Applications in Genetics and Molecular Biology
SCR Journal Ranking

Statistical Applications in Genetics and Molecular Biology
SCImago SJR Rank

SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.

0.239

Statistical Applications in Genetics and Molecular Biology
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Statistical Applications in Genetics and Molecular Biology
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Statistical Applications in Genetics and Molecular Biology
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Statistical Applications in Genetics and Molecular Biology
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    0.674 0.773 0.826
  • 2020 Impact Factor
    0.545 0.4 0.7
  • 2019 Impact Factor
    0.733 0.987 0.853
  • 2018 Impact Factor
    0.464 0.469 0.566
  • 2017 Impact Factor
    0.855 0.918 1.138
  • 2016 Impact Factor
    0.671 0.992 1.138
  • 2015 Impact Factor
    1.488 1.433 1.474
  • 2014 Impact Factor
    1.318 NA NA
  • 2013 Impact Factor
    1.203 NA NA
  • 2012 Impact Factor
    1.866 NA NA
  • 2011 Impact Factor
    1.685 NA NA
  • 2010 Impact Factor
    1.887 NA NA
  • 2009 Impact Factor
    2.172 NA NA
  • 2008 Impact Factor
    1.779 NA NA
  • 2007 Impact Factor
    2.060 NA NA
  • 2006 Impact Factor
    4.636 NA NA
  • 2005 Impact Factor
    4.400 NA NA
  • 2004 Impact Factor
    0.000 NA NA
  • 2003 Impact Factor
    NA NA NA
  • 2002 Impact Factor
    NA NA NA
  • 2001 Impact Factor
    NA NA NA
  • 2000 Impact Factor
    NA NA NA
Note: impact factor data for reference only

HIGHEST PAID JOBS

LATEX TUTORIALS

MUST-READ BOOKS


Impact Factor

Impact factor (IF) is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Find out more: What is a good impact factor?


III. Other Science Influence Indicators

Any impact factor or scientometric indicator alone will not give you the full picture of a science journal. There are also other factors such as H-Index, Self-Citation Ratio, SJR, SNIP, etc. Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed. (Learn More)

Statistical Applications in Genetics and Molecular Biology
H-Index

The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications

47

Statistical Applications in Genetics and Molecular Biology
H-Index History