A Decade of Bibliometric Analysis of Biodiversity

Petruta-Simona Simion, Laurențiu Ciornei, I. Todirică, Victor Petcu, Maria Joiţa-Păcureanu
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引用次数: 0

Abstract

Abstract Bibliometric analysis is a significant method used in scientific research to evaluate extensive and rich areas of specialized research. This study explored biodiversity as the main focus, using bibliometric data from the ScienceDirect and Scopus bases. The analysis found 1115 appearances for the keyword “biodiversity” in the top 10 specialized journals, highlighting journals such as “Biological Conservation” and “Science of The Total Environment”. The clustering of keywords illustrated seven interest groups, highlighting biodiversity, the Romanian context, forestry, climate change and conservation. The time analysis also revealed the thematic evolution of the research, moving from morphology and nitrogen issues to topics such as conservation, climate change and environmental protection. Despite the usefulness of bibliometric analysis, it brings up the limitations and precautions required in the use of bibliometric data, highlighting the importance of a rigorous data cleaning process. It is also stressed that bibliometric analysis is better suited for short-term forecasts than for overly ambitious conclusions about long-term impacts. However, this method is a useful tool for specialized research, facilitating the development of knowledge in various areas of interest.
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生物多样性文献计量分析十年
摘要 文献计量分析是科学研究中用来评估广泛而丰富的专业研究领域的重要方法。本研究利用来自 ScienceDirect 和 Scopus 数据库的文献计量数据,以生物多样性为重点进行了探讨。分析发现,"生物多样性 "这一关键词在排名前十的专业期刊中出现了 1115 次,其中以 "生物保护 "和 "整体环境科学 "等期刊最为突出。关键词的聚类显示了七个兴趣小组,突出了生物多样性、罗马尼亚背景、林业、气候变化和保护。时间分析还显示了研究主题的演变,从形态学和氮问题转向保护、气候变化和环境保护等主题。尽管文献计量分析很有用,但它也提出了文献计量数据使用中的局限性和所需的预防措施,强调了严格的数据清理过程的重要性。报告还强调,文献计量分析更适合短期预测,而不适合对长期影响做出过于雄心勃勃的结论。不过,这种方法对于专门研究来说是一种有用的工具,有助于发展各相关领域的知识。
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