International Journal of Biomedical Data Mining : Citations & Metrics Report
Articles published in International Journal of Biomedical Data Mining have been cited by esteemed scholars and scientists all around the world. International Journal of Biomedical Data Mining has got h-index 7, which means every article in International Journal of Biomedical Data Mining has got 7 average citations.
Following are the list of articles that have cited the articles published in International Journal of Biomedical Data Mining.
2020 | 2019 | 2018 | 2017 | 2016 | |
---|---|---|---|---|---|
Total published articles |
33 | 2 | 4 | 8 | 5 |
Conference proceedings |
0 | 0 | 0 | 0 | 0 |
Citations received as per Google Scholar, other indexing platforms and portals |
42 | 62 | 70 | 46 | 14 |
Journal total citations count | 310 |
Journal impact factor | 6.83 |
Journal 5 years impact factor | 4.42 |
Journal cite score | 4.60 |
Journal h-index | 7 |
Journal h-index since 2019 | 7 |
Important citations (264)
Study of the cytotoxic effects of aflatoxin on hematopoietic stem cells |
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A study to evaluate aflatoxin contamination in food from gauteng province |
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Aflatoxins in the soil ecosystem: an overview of its occurrence, fate, effects and future perspectives |
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Fungi and aflatoxin occurrence in fresh and dried vegetables marketed in minna, niger state, nigeria |
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A focus on aflatoxins in feedstuffs: levels of contamination, prevalence, control strategies, and impacts on animal health |
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Comparative genomics a new arena of biological research: a review |
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An engineering approach to bioinformatics and its applications |
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Bioinformatics: how it helps to boost modern biological research |
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A bioinformatic pipeline for monitoring of the mutational stability of viral drug targets with deep-sequencing technology |
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Computational analysis of next generation sequencing data and its applications in clinical oncology |
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An overview of data mining techniques to support medical decisions |
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Performance analysis of predicting survival rates in imbalanced healthcare dataset. |
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Machine learning with applications |
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Edge-based convolutional neural network for improving breast cancer prediction performance |
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Ensemble based filter feature selection with harmonize particle swarm optimization and support vector machine for optimal cancer classification |
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Mendelian randomization study of the association between telomere length and risk of cancer and non-neoplastic disease |
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