Genomics Inform.  2019 Sep;17(3):e25. 10.5808/GI.2019.17.3.e25.

Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters

Affiliations
  • 1Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University, Seoul 03760, Korea. neo@ewha.ac.kr
  • 2Center for Convergence Research of Advanced Technologies, Ewha Womans University, Seoul 03760, Korea.

Abstract

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.

Keyword

document clustering; genes; shallow neural network; word cloud

MeSH Terms

Genome
Genomics*
Informatics*
Korea
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