基于大数据《烟草科技》期刊学术影响力分析

Academic influences of Tobacco Science&Technology analyzed through big data

利用大数据分析科技期刊的学术影响力,以期为期刊学术水平的提升和持续发展提供参考。以《烟草科技》期刊为研究对象,采用中国知网《知识资源总库》的引文数据,按照文献计量学方法统计分析了150篇《烟草科技》高被引论文的关键词、被引频次、主要研究内容、基金来源、作者及机构。利用中国知网提供的引用文献大数据,分析了烟草学科的研究热点,挖掘出“双高”作者和优质稿源、优秀作者的分布机构。依据大数据分析结果,为《烟草科技》的栏目规划和选题组稿提出了具体建议。

In order to benchmark and promote academic standards and sustainable development of peer-reviewed scientific journals,the academic influences of scientific journals were analyzed through a big data approach.Taking the Journal of Tobacco Science&Technology as a research object,the citation database from the Knowledge Resource Base of CNKI,150 highly cited papers from the journal were analyzed with bibliometric parameters such as keywords,research fields,funding sources,authors and their affiliations.Using the big data tools provided by CNKI,hot research topics in tobacco science were identified and analyzed,and the“double-high”authors(high citation and high impact)were screened out,the distributions of high-quality manuscripts and excellent authors were mapped.Based on the results,specific suggestions are proposed for the journal column planning and topic selection of Tobacco Science and Technology.