摘要
目的:为指导作者投稿及我国植物资源领域行业科技期刊的选题制定、约稿组稿、稿件遴选以及提高期刊影响力提供思路。方法:基于中国知网(CNKI)收录的《中国野生植物资源》2009—2023年刊载文献数据,科学遴选出高被引文献并提取相关数据,利用CiteSpace6.3.R1等软件重点对这15年高被引文献数据进行分析。结果:研究发现,《中国野生植物资源》2009—2023年年度刊发文献量总体呈阶梯状上升趋势,文献被引和文献发表时间基本呈现正相关关系,高被引文献作者大多为合著,主要分布在南京野生植物综合利用研究院、中国药科大学、南京师范大学等十几所高等院校或研究院所,高被引文献主要分布在中药学、生物学、园艺学、中医学、药学、有机化学等领域,主要分布在《综述》《研究报告》《资源研究》以及《应用开发》栏目中。结论:通过优化出版流程、提供优质服务、打造重点栏目、持续不断深耕特色期刊等措施可以帮助期刊提高影响力。
Objective:To provide insights for authors submitting papers,formulate topics,commission manuscripts,select manuscripts and improve the influence of journals in the field of plant resources in China.Methods:Based on the literature data of Chinese Wild Plant Resources from 2009 to 2023 included in CNKI,the highly cited literature were scientifically selected and the relevant data were extracted.The 15-year highly cited literature data were analyzed using CiteSpace 6.3.R1 and other software.Results:The results indicated that the number of published articles in Chinese Wild Plant Resources from 2009 to 2023 showed a gradual upward trend,and there was a positive correlation between the citation of literature and the publication time.Most authors of the highly cited literature were co-authors,primarily affiliated with more than a dozen universities or research institutes such as Nanjing Institute for Comprehensive Utilization of Wild Plants,China Pharmaceutical University,Nanjing Normal University,etc.The highly cited articles were mainly distributed in the fields of traditional Chinese pharmacology,biology,horticulture,traditional Chinese medicine,pharmacy,organic chemistry and other fields.They were primarily published in the columns such as"Review","Research Report","Resource Research"and"Application Development".Conclusion:By optimizing the publishing process,providing high-quality services,creating key columns,and continuously cultivating featured journals,it can help improve the influence of the journal.
作者
刘允杰
Liu Yunjie(Editorial Department of Forest Public Security,Nanjing Police University,Nanjing 210028,China)
出处
《中国野生植物资源》
CSCD
2024年第11期92-97,共6页
Chinese Wild Plant Resources
关键词
《中国野生植物资源》
林业期刊
科技期刊
计量学分析
知识图谱
可视化分析
Chinese Wild Plant Resources
Forestry journals
Scientific and technical journals
Bibliometric analysis
Knowledge graph
Visual analytics
