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KMID : 1132720190170030025
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Genomics & Informatics
2019 Volume.17 No. 3 p.25 ~ p.25
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Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
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Kim Ji-Hyeon
Nam Hee-Jo
Park Hyun-Seok
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Abstract
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Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Herein, we conduct a statistical analysis of the publications of Genomics & Informatics over the 16 years since its inception, with a particular focus on issues relating to article categories, word clouds, and the most-studied genes, drawing on recent reviews of the use of word frequencies in journal articles. Trends in the studies published in Genomics & Informatics are discussed both individually and collectively.
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KEYWORD
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document clustering, genes, shallow neural network, word cloud
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