SCI Journal

Impact Factor Database

Theoretical Biology and Medical Modelling

Basic Journal Info

Country

United Kingdom
Journal ISSN: 17424682
Publisher: BioMed Central
History: 2004-ongoing
Journal Hompage: Link
Note:

Research Categories

Impact Factor Ranking

Mathematics
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Scope/Description:

Theoretical Biology and Medical Modelling (TBioMed) is an open access, peer-reviewed, online journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which TBioMed operates. Theoretical issues have become as topical as any other research activity and TBioMed offers the efficient, high-quality peer-review service that is needed to allow the timely dissemination of research.

Theoretical Biology and Medical Modelling

Impact Factor Trend 2005 - 2018 / 2019
Note: impact factor data for reference only

Impact Factor

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2020 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.

(Read More: What is a good impact factor?)

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Theoretical Biology and Medical Modelling

Impact Factor History
  • 2018 / 2019 Impact Factor 1.644
  • 2017 Impact Factor 2.104
  • 2016 Impact Factor 1.830
  • 2015 Impact Factor 1.373
  • 2014 Impact Factor 1.139
  • 2013 Impact Factor 1.699
  • 2012 Impact Factor 1.742
  • 2011 Impact Factor 2.070
  • 2010 Impact Factor 1.714
  • 2009 Impact Factor 2.219
  • 2008 Impact Factor 2.383
  • 2007 Impact Factor 1.663
  • 2006 Impact Factor 1.129
  • 2005 Impact Factor 1.385
  • 2004 Impact Factor NA
  • 2003 Impact Factor NA
  • 2002 Impact Factor NA
  • 2001 Impact Factor NA
  • 2000 Impact Factor NA
Note: impact factor data for reference only

3-Years Average
Impact Factor

1.859

3-Years Growth
Impact Factor

-10%

5-Years Average
Impact Factor

1.618

5-Years Growth
Impact Factor

44%

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Other Journal Impact Indicator

Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.

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Theoretical Biology and Medical Modelling

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

42

Theoretical Biology and Medical Modelling

SCImago Journal Rank (SJR)

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.

0.56