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Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis

PURPOSE: This study aims to analyze the scientific output of long noncoding RNA (lncRNA) research and construct a model to evaluate publications from the past decade qualitatively and quantitatively. METHODS: Publications from 2007 to 2016 were retrieved from the Web of Science Core Collection datab...

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Detalles Bibliográficos
Autores principales: Miao, Yan, Xu, Si-Yi, Chen, Lu-Si, Liang, Ge-Yu, Pu, Yue-Pu, Yin, Li-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5669954/
https://www.ncbi.nlm.nih.gov/pubmed/29137328
http://dx.doi.org/10.18632/oncotarget.20851
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author Miao, Yan
Xu, Si-Yi
Chen, Lu-Si
Liang, Ge-Yu
Pu, Yue-Pu
Yin, Li-Hong
author_facet Miao, Yan
Xu, Si-Yi
Chen, Lu-Si
Liang, Ge-Yu
Pu, Yue-Pu
Yin, Li-Hong
author_sort Miao, Yan
collection PubMed
description PURPOSE: This study aims to analyze the scientific output of long noncoding RNA (lncRNA) research and construct a model to evaluate publications from the past decade qualitatively and quantitatively. METHODS: Publications from 2007 to 2016 were retrieved from the Web of Science Core Collection database. Microsoft Excel 2016 and CiteSpace IV software were used to analyze publication outputs, journals, countries, institutions, authors, citation counts, ESI top papers, H-index, and research frontiers. RESULTS: A total of 3,008 papers on lncRNA research were identified published by June 17, 2017. The journal, Oncotarget (IF2016, 5.168) ranked first in the number of publications. China had the largest number of publications (1,843), but the United States showed its dominant position in both citation frequency (45,120) and H-index (97). Zhang Y (72 publications) published the most papers, and Guttman M (1,556 citations) had the greatest co-citation counts. The keyword “database” ranked first in research frontiers. CONCLUSION: The annual number of publications rapidly increased in the past decade. China showed its significant progress in lncRNA research, but the United States was the actual leading country in this field. Many Chinese institutions engaged in lncRNA research but significant collaborations among them were not noted. Guttman M, Mercer TR, Rinn JL, and Gupta RA were identified as good candidates for research collaboration. “Database,” “Xist RNA,” and “Genome-wide association study” should be closely observed in this field.
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spelling pubmed-56699542017-11-09 Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis Miao, Yan Xu, Si-Yi Chen, Lu-Si Liang, Ge-Yu Pu, Yue-Pu Yin, Li-Hong Oncotarget Research Paper PURPOSE: This study aims to analyze the scientific output of long noncoding RNA (lncRNA) research and construct a model to evaluate publications from the past decade qualitatively and quantitatively. METHODS: Publications from 2007 to 2016 were retrieved from the Web of Science Core Collection database. Microsoft Excel 2016 and CiteSpace IV software were used to analyze publication outputs, journals, countries, institutions, authors, citation counts, ESI top papers, H-index, and research frontiers. RESULTS: A total of 3,008 papers on lncRNA research were identified published by June 17, 2017. The journal, Oncotarget (IF2016, 5.168) ranked first in the number of publications. China had the largest number of publications (1,843), but the United States showed its dominant position in both citation frequency (45,120) and H-index (97). Zhang Y (72 publications) published the most papers, and Guttman M (1,556 citations) had the greatest co-citation counts. The keyword “database” ranked first in research frontiers. CONCLUSION: The annual number of publications rapidly increased in the past decade. China showed its significant progress in lncRNA research, but the United States was the actual leading country in this field. Many Chinese institutions engaged in lncRNA research but significant collaborations among them were not noted. Guttman M, Mercer TR, Rinn JL, and Gupta RA were identified as good candidates for research collaboration. “Database,” “Xist RNA,” and “Genome-wide association study” should be closely observed in this field. Impact Journals LLC 2017-09-12 /pmc/articles/PMC5669954/ /pubmed/29137328 http://dx.doi.org/10.18632/oncotarget.20851 Text en Copyright: © 2017 Miao et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Miao, Yan
Xu, Si-Yi
Chen, Lu-Si
Liang, Ge-Yu
Pu, Yue-Pu
Yin, Li-Hong
Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis
title Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis
title_full Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis
title_fullStr Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis
title_full_unstemmed Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis
title_short Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis
title_sort trends of long noncoding rna research from 2007 to 2016: a bibliometric analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5669954/
https://www.ncbi.nlm.nih.gov/pubmed/29137328
http://dx.doi.org/10.18632/oncotarget.20851
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