The graph shows the changes in the impact factor of BioData Mining and its the corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.
How Influential is BioData Mining?
BioData Mining is the 9th out of 150 Computational Mathematics journals. This means the journal is among the top 6% in the sub-discipline of Computational Mathematics. This Journal is the 70th out of 2,015 Mathematics journals. This means the journal is among the top 4% in the discipline of Mathematics. This Journal is the 103rd out of 543 Genetics journals. This means the journal is among the top 19% in the sub-discipline of Genetics. This Journal is the 146th out of 2,945 Formal Sciences journals. This means the journal is among the top 5% in the science branch of Formal Sciences. This Journal is the 148th out of 659 Biochemistry journals. This Journal is the 156th out of 439 Molecular Biology journals. This Journal is the 783rd out of 5,258 Biology journals. This means the journal is among the top 15% in the discipline of Biology. This Journal is the 1018th out of 11,479 Physical Sciences journals. This means the journal is among the top 9% in the science branch of Physical Sciences. This Journal is the 1149th out of 8,993 Life Sciences journals. This means the journal is among the top 13% in the science branch of Life Sciences.
How are inpact factors calculated?
The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.
extended IF also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.
