文献计量分析在快速检索文献中的应用——以土壤氨挥发为例

为解决关注的研究领域中检索关键文献效率低的问题,本研究利用R语言bibliometrix包,以土壤氨(NH3)挥发为例,进行文献计量分析(包括关键词共现分析、共词分析及高被引论文分析),探索文献计量分析在Web of Science核心数据库中精确快速检索文献的方法.研究发现,第一次文献检索时,输入少量简单关键词(土壤...

The Method of Literature Retrieval via Biliometric Analysis:Taking Soil Ammonia Volatilization as an Example

Based on the Web of Science core collection database, the study used the R-bibliometrix package for literature biliometric analysis such as keyword co-occurrence analysis, co-word analysis and high cited publications analysis taking soil ammonia volatilization as an example, and explored a practical method of literature retrieval by using literature biliometric analysis so as to quickly find key literatures that are closely related to research topics in a huge literature database. The results showed the number of retrieved literatures was 3573 (a large number) and the majority of the Top 10 highly cited publications had little to do with soil ammonia volatilization after first literature retrieval via entering a few easy-to-think keywords like soil ammonia volatilization. Then the first retrieved literature data was biliometric analyzed to get keyword co-occurrence network map, keywords conceptual structure map and Top 10 highly cited publications. According to the above-mentioned results, we screened and eliminated the inconsequential keywords, and then refined search for the second literature retrieval. After performing the process twice, the number of retrieved literatures had dropped to 160, among which the Top 10 highly cited publications were closely related to the research topic. And then we hypothesized that the key literatures about the relationships between soil NH₃ volatilization and water, temperature, management needed to be accurately retrieved. The results by using the above-mentioned method demonstrated that only 26, 20, and 28 related literatures were retrieved, respectively. Therefore, the feasibility of the method was verified. Consequently, the method of literature retrieval by using literature biliometric analysis is feasible to accurately retrieve key literatures. Furthermore, the method of literature retrieval by using R-biliometrix tool based on big data could help researchers retrieve key literatures, find scientific gaps, determine scientific problems, and obtain scientific research ideas and solutions.