从过去到现在有关动物生产对气候变化影响的出版物文献计量分析

Şenol Çelik
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摘要

使用R软件、biblioshiny网络程序、Scopus和VOSviewer等文献计量学和科学绘图方法,对1990-2023年期间《科学网》引用和分析的文献作品进行了分析,以便全面了解1990-2023年期间动物生产对气候变化研究的影响。为了确定哪些文章、作者和期刊最重要,我们对科学网数据库中发表的 6558 篇出版物进行了文献计量分析。它还提供了有关未来研究主题和差距以及当前主题趋势的信息。成果最多的国家是中国、美国和澳大利亚;成果最多的期刊是《全球变化生物学》、《整体环境科学》和《国际环境科学与污染研究》。分析结果表明,在研究期间,讨论动物生产如何受到气候变化影响的研究出版物数量明显增加,研究领域稳步扩大。各国在这一领域的合作水平和研究项目有所增加,从而提高了出版物的质量。我们还统计了畜牧生产如何影响气候变化领域的重要出版物、作家和期刊。畜牧生产与气候变化问题将更加依赖于新数据、新技术和新科技。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bibliometric analysis of publications on the effect of animal production on climate change from past to present
Bibliometrics and scientific mapping methods using R software, the biblioshiny web program, Scopus and VOSviewer were used to analyze the works of literature referenced and analyzed by the Web of Science during 1990–2023 in order to provide a thorough overview of the effect of animal production on climate change research from 1990 to 2023. A bibliometric analysis of 6,558 publications that were published on the Web of Science database was done in order to determine which articles, authors, and journals were the most important. It also provided information on future study themes and gaps, as well as present topic trends. The most productive nations are China, the United States, and Australia; the most productive journals are Global Change Biology, The Science of the Total Environment, and Environmental Science and Pollution Research International. The analysis’s findings show that, over the course of the study period, there was a noticeable rise in the number of research publications discussing how animal production is impacted by climate change, along with a steady expansion of the study area. The level of cooperation and research projects in this field among nations has increased, which has improved the caliber of publications over time. Important publications, writers, and journals in the area of how animal production affects climate change were also tallied. The problem of animal production and climate change will become significantly more dependent on new data, techniques, and technology.
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