Trends in genomics & informatics: A statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters

Ji Hyeon Kim, Hee Jo Nam, Hyun Seok Park

Research output: Contribution to journalShort surveypeer-review

1 Scopus citations

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.

Original languageEnglish
Article numbere25
JournalGenomics and Informatics
Volume17
Issue number3
DOIs
StatePublished - 2019

Bibliographical note

Funding Information:
This research was supported by Ewha Womans University (1-2018-0698-001-1) and Basic Science Research Program (2-2019-1317-001-1) through the National Research Foundation of Korea(NRF) funded by the Ministry of Education.

Publisher Copyright:
© 2019, Korea Genome Organization.

Keywords

  • Document clustering
  • Genes
  • Shallow neural network
  • Word cloud

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