BioData Mining is a peer-reviewed open access scientific journal covering data mining methods applied to computational biology and medicine established in 2008. It is published by BioMed Central and the editors-in-chief are Jason H. Moore and Marylyn D. Ritchie (University of Pennsylvania).
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| Discipline | Data mining, bioinformatics, machine learning, computational biology |
|---|---|
| Language | English |
| Edited by | Jason H. Moore, Marylyn D. Ritchie |
| Publication details | |
| History | 2008–present |
| Publisher | |
| Frequency | Continuous |
| Yes | |
| License | Creative Commons Attribution 4.0 |
| 4.079 (2021) | |
| Standard abbreviations | |
| ISO 4 | BioData Min. |
| Indexing | |
| CODEN | BMIIAP |
| ISSN | 1756-0381 |
| LCCN | 2009243015 |
| OCLC no. | 239727180 |
| Links | |
Abstracting and indexing
editThe journal is abstracted and indexed in:
According to the Journal Citation Reports, the journal has a 2021 impact factor of 4.079.[7]
References
edit- ^ a b c "Web of Science Master Journal List". Intellectual Property & Science. Clarivate. Retrieved 2022-11-04.
- ^ "CAS Source Index". Chemical Abstracts Service. American Chemical Society. Retrieved 2022-11-04.
- ^ a b "BioData Mining". MIAR: Information Matrix for the Analysis of Journals. University of Barcelona. Retrieved 2022-11-04.
- ^ "Embase Coverage". Embase. Elsevier. Retrieved 2022-11-04.
- ^ "Inspec list of journals" (PDF). Inspec. Institution of Engineering and Technology. Archived from the original (PDF) on 2022-05-22. Retrieved 2022-11-04.
- ^ "Source details: BioData Mining". Scopus Preview. Elsevier. Retrieved 2022-11-04.
- ^ "BioData Mining". 2021 Journal Citation Reports. Web of Science (Science ed.). Clarivate. 2022.