基于文献计量的预测微生物学研究态势分析

doi:10.19640/j.cnki.jtau.2024.01.009

天津农学院学报 ›› 2024, Vol. 31 ›› Issue (1): 47-53.doi: 10.19640/j.cnki.jtau.2024.01.009

基于文献计量的预测微生物学研究态势分析

王慧, 刘珊娜^通信作者

天津农学院食品科学与生物工程学院,天津 300392

收稿日期:2023-01-22 出版日期:2024-02-29 发布日期:2024-04-02
通讯作者: 刘珊娜（1984—）,女,副教授,博士,主要从事食品生物技术方面的研究。E-mail：lsn_nxy@aliyun.com。
作者简介:王慧（1999—）,女,硕士在读,主要从事食品加工与安全方面的研究。E-mail：Huiwang_2022@163.com。
基金资助:
天津市教委科研计划项目（2019KJ042）

Analysis of research situation for predictive microbiology based on bibliometrics

Wang Hui, Liu Shanna^{Corresponding Author}

College of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin 300392, China

Received:2023-01-22 Online:2024-02-29 Published:2024-04-02

摘要/Abstract

摘要： 本文借助文献计量法分析预测微生物学研究概况、研究热点与发展趋势,为今后的研究提供思路。在Web of Science核心合集数据库中,检索2006—2021年间以预测微生物学为主题的相关文献,基于文献计量法及CiteSpace软件进行可视化分析展示。预测微生物学文献数量显著增长,从2006年的57篇增至2021年的138篇;研究方向主要是食品科学技术、微生物学、传染病学、生物技术应用微生物学等领域;全球共有73个国家/地区开展预测微生物学的研究,发文量排名前15的国家共占总发文量的42.90%;中国发文量在全球排名第6,且与美国、欧洲等国家/地区跨区域合作密切;诊断、性能、死亡率、治疗、参数估计、乳酸菌、猪肉、指南、风险因素等关键词是被广泛关注的热点。预测微生物学以其快速、高效、准确等优点未来将在食品科学、生物学、医学等研究领域发挥重要作用。

关键词: 预测微生物学, 文献计量, 预测模型, 研究态势

Abstract: In this study, the research profiles, research hotspots and development trends of predictive microbiology were analyzed with the help of bibliometrics to provide ideas for future research. In the Web of Science core collection database, relevant literature on the topic of predictive microbiology from 2006 to 2021 were selected and displayed based on bibliometrics and Cite Space visual analysis software. The number of annual publications in the field of predictive microbiology has increased significantly from 57 articles in 2006 to 138 articles in 2021. The main research areas were food science technology, microbiology, infectious diseases and biotechnology applied microbiology. There were 73 countries or regions in the world which have conducted the research on predictive microbiology. The top 15 countries in the number of literature publications accounted for 42.90% of the total number of literature publications. China has ranked sixth globally in the number of literature publications and had close collaboration with other countries or regions such as the United States and Europe. The key words including diagnosis, performance, mortality, therapy, parameter estimation, lactic acid bacteria, pork, guideline and risk factor were widely considered as hotspots. With the advantages of rapidity, efficiency and accuracy, predictive microbiology will play an important role in the research areas of food science, biology as well and science in the future.

Key words: predictive microbiology, bibliometrics, predictive model, research situation

中图分类号:

王慧, 刘珊娜. 基于文献计量的预测微生物学研究态势分析[J]. 天津农学院学报, 2024, 31(1): 47-53.

Wang Hui, Liu Shanna. Analysis of research situation for predictive microbiology based on bibliometrics[J]. Journal of Tianjin Agricultural University, 2024, 31(1): 47-53.

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链接本文: http://xuebao.tjau.edu.cn/CN/10.19640/j.cnki.jtau.2024.01.009

http://xuebao.tjau.edu.cn/CN/Y2024/V31/I1/47

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基于文献计量的预测微生物学研究态势分析

Analysis of research situation for predictive microbiology based on bibliometrics

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