农业科学中元分析的科学映射

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-11-11 DOI:10.3390/info14110611
Weiting Ding, Jialu Li, Heyang Ma, Yeru Wu, Hailong He
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引用次数: 0

摘要

元分析作为一种强大的统计方法,在农业科学中的应用日益广泛,取得了显著进展。然而,农业学科的meta分析研究报告仍需系统梳理。科学计量学通常用于定量分析某些主题的研究。本研究基于Web of Science数据库检索近30年(1992-2021)的文献,利用VOSviewer和CiteSpace可视化分析软件包进行定量分析。本研究的目的是调查meta分析在农业科学中的应用现状、最新研究热点和趋势,并确定有影响力的作者、研究机构、国家、文章和期刊来源。在过去的30年里,农业荟萃分析文献的数量迅速增加。我们确定了前三位作者(Sauvant D, Kebreab E和Huhtanen P),前三位贡献机构(中国科学院,国家农业研究所和西北农林科技大学)和前三位生产国家(美国,中国和法国)。关键词聚类分析表明,农业科学的元分析研究可分为气候变化、作物产量、土壤和畜牧业四类。Jeffrey(2011)是《Journal of Dairy Science》最具影响力和被引率最高的研究论文。本文运用文献计量学分析客观评价农业科学元分析的发展,把握农业研究的发展前沿,展望农业科学相关研究的未来。
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Science Mapping of Meta-Analysis in Agricultural Science
As a powerful statistical method, meta-analysis has been applied increasingly in agricultural science with remarkable progress. However, meta-analysis research reports in the agricultural discipline still need to be systematically combed. Scientometrics is often used to quantitatively analyze research on certain themes. In this study, the literature from a 30-year period (1992–2021) was retrieved based on the Web of Science database, and a quantitative analysis was performed using the VOSviewer and CiteSpace visual analysis software packages. The objective of this study was to investigate the current application of meta-analysis in agricultural sciences, the latest research hotspots, and trends, and to identify influential authors, research institutions, countries, articles, and journal sources. Over the past 30 years, the volume of the meta-analysis literature in agriculture has increased rapidly. We identified the top three authors (Sauvant D, Kebreab E, and Huhtanen P), the top three contributing organizations (Chinese Academy of Sciences, National Institute for Agricultural Research, and Northwest A&F University), and top three productive countries (the USA, China, and France). Keyword cluster analysis shows that the meta-analysis research in agricultural sciences falls into four categories: climate change, crop yield, soil, and animal husbandry. Jeffrey (2011) is the most influential and cited research paper, with the highest utilization rate for the Journal of Dairy Science. This paper objectively evaluates the development of meta-analysis in the agricultural sciences using bibliometrics analysis, grasps the development frontier of agricultural research, and provides insights into the future of related research in the agricultural sciences.
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
期刊最新文献
Weakly Supervised Learning Approach for Implicit Aspect Extraction Science Mapping of Meta-Analysis in Agricultural Science An Integrated Time Series Prediction Model Based on Empirical Mode Decomposition and Two Attention Mechanisms Context-Aware Personalization: A Systems Engineering Framework Polarizing Topics on Twitter in the 2022 United States Elections
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