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A bibliometric analysis of global forest ecology research during 2002–2011
Bibliometric is increasingly used for the analysis of discipline dynamics and management related decision-making. This study analyzes 937,923 keywords from 78,986 articles concerning forest ecology and conducts a serial analysis of these articles’ characteristics. The articles’ records, published be...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing AG
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3653034/ https://www.ncbi.nlm.nih.gov/pubmed/23687631 http://dx.doi.org/10.1186/2193-1801-2-204 |
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author | Song, Yajun Zhao, Tianzhong |
author_facet | Song, Yajun Zhao, Tianzhong |
author_sort | Song, Yajun |
collection | PubMed |
description | Bibliometric is increasingly used for the analysis of discipline dynamics and management related decision-making. This study analyzes 937,923 keywords from 78,986 articles concerning forest ecology and conducts a serial analysis of these articles’ characteristics. The articles’ records, published between 2002 and 2011, were downloaded from the Web of Science, and their keywords were exported by Java processing programs. The result shows that forest ecology studies focused on forest diversity, conservation, dynamics and vegetation in the last decade. Developed countries, such as the USA, Canada, and Germany, were the most productive countries in the field of forest ecology research. From 2002 to 2011, the number of articles published annually related to forest ecology grew at a stable rate, as indicated by the fit produced by a high determination coefficient (R(2) = 0.9955). The findings of this study may be applicable for planning and managing forest ecology research and partners involved in such research may use this study as a reference. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-204) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-3653034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer International Publishing AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-36530342013-05-16 A bibliometric analysis of global forest ecology research during 2002–2011 Song, Yajun Zhao, Tianzhong Springerplus Research Bibliometric is increasingly used for the analysis of discipline dynamics and management related decision-making. This study analyzes 937,923 keywords from 78,986 articles concerning forest ecology and conducts a serial analysis of these articles’ characteristics. The articles’ records, published between 2002 and 2011, were downloaded from the Web of Science, and their keywords were exported by Java processing programs. The result shows that forest ecology studies focused on forest diversity, conservation, dynamics and vegetation in the last decade. Developed countries, such as the USA, Canada, and Germany, were the most productive countries in the field of forest ecology research. From 2002 to 2011, the number of articles published annually related to forest ecology grew at a stable rate, as indicated by the fit produced by a high determination coefficient (R(2) = 0.9955). The findings of this study may be applicable for planning and managing forest ecology research and partners involved in such research may use this study as a reference. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-204) contains supplementary material, which is available to authorized users. Springer International Publishing AG 2013-05-02 /pmc/articles/PMC3653034/ /pubmed/23687631 http://dx.doi.org/10.1186/2193-1801-2-204 Text en © Song and Zhao; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Song, Yajun Zhao, Tianzhong A bibliometric analysis of global forest ecology research during 2002–2011 |
title | A bibliometric analysis of global forest ecology research during 2002–2011 |
title_full | A bibliometric analysis of global forest ecology research during 2002–2011 |
title_fullStr | A bibliometric analysis of global forest ecology research during 2002–2011 |
title_full_unstemmed | A bibliometric analysis of global forest ecology research during 2002–2011 |
title_short | A bibliometric analysis of global forest ecology research during 2002–2011 |
title_sort | bibliometric analysis of global forest ecology research during 2002–2011 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3653034/ https://www.ncbi.nlm.nih.gov/pubmed/23687631 http://dx.doi.org/10.1186/2193-1801-2-204 |
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