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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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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. |
format | Online Article Text |
id | pubmed-5669954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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