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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

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...

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Detalles Bibliográficos
Autores principales: Kim, Ji-Hyeon, Nam, Hee-Jo, Park, Hyun-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808643/
https://www.ncbi.nlm.nih.gov/pubmed/31610621
http://dx.doi.org/10.5808/GI.2019.17.3.e25
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author Kim, Ji-Hyeon
Nam, Hee-Jo
Park, Hyun-Seok
author_facet Kim, Ji-Hyeon
Nam, Hee-Jo
Park, Hyun-Seok
author_sort Kim, Ji-Hyeon
collection PubMed
description 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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spelling pubmed-68086432019-10-24 Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters Kim, Ji-Hyeon Nam, Hee-Jo Park, Hyun-Seok Genomics Inform Mini Review 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. Korea Genome Organization 2019-09-27 /pmc/articles/PMC6808643/ /pubmed/31610621 http://dx.doi.org/10.5808/GI.2019.17.3.e25 Text en (c) 2019, Korea Genome Organization (CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Mini Review
Kim, Ji-Hyeon
Nam, Hee-Jo
Park, Hyun-Seok
Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
title Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
title_full Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
title_fullStr Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
title_full_unstemmed Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
title_short Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
title_sort trends in genomics & informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
topic Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808643/
https://www.ncbi.nlm.nih.gov/pubmed/31610621
http://dx.doi.org/10.5808/GI.2019.17.3.e25
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