中国科技期刊研究 ›› 2017, Vol. 28 ›› Issue (12): 1166-1170. doi: 10.11946/cjstp.201707120578

• 评价与分析 • 上一篇    下一篇

基于Web of Science的论文使用次数和被引频次的相关性分析

丁佐奇   

  1. 中国药科大学《中国天然药物》编辑部,江苏省南京市童家巷24号 210009
  • 收稿日期:2017-07-12 修回日期:2017-09-14 出版日期:2017-12-15 发布日期:2017-12-15
  • 作者简介:丁佐奇(ORCID:0000-0003-0957-4193),博士,副编审,硕士生导师,E-mail:zqding1028@163.com。
  • 基金资助:
    中国高校科技期刊研究会专项基金资助(CUJS 2017-001)

Correlation analysis between usage count and citation frequencies based on Web of Science

DING Zuoqi   

  1. Editorial Office of Chinese Journal of Natural Medicines, China Pharmaceutical University, 24 Tongjia Lane, Nanjing 210009, China
  • Received:2017-07-12 Revised:2017-09-14 Online:2017-12-15 Published:2017-12-15

摘要:

【目的】 研究论文使用次数与被引频次的相关性,以判断使用次数是否可作为论文影响力评价的客观指标。【方法】 利用Web of Science(WoS)新推出的“文献级别用量指标”,对《中国天然药物》高使用和高被引论文的使用次数和被引频次的相关性进行研究,并研究整合替代医学学科论文使用次数对被引频次的表征意义。【结果】 被引频次、使用次数及使用次数(180天)三者之间互相具有较好的相关性。2014年和2015年高使用论文获得高引用,表明期刊可以利用论文发表2年内的使用次数预测其未来是否高被引;年代越久的高被引文献,也可能带来后续使用次数的二次提高。【结论】 论文使用次数与被引频次的相关性研究未能形成定论,时间跨度的选择可能是造成矛盾结果的主要原因。论文使用次数与被引频次的峰值出现时间不同,但二者呈正相关,使用次数可作为论文影响力早期评价的客观指标。

关键词: 使用次数, 被引频次, 相关性, 预测性

Abstract:

[Purposes] This paper aims to validate the correlation between usage count and citation frequencies for papers, and to judge whether usage count is a good indicator for evaluating the influence of papers. [Methods] Taking Chinese Journal of Natural Medicines as an example, we studied the correlation between usage count and citation frequencies based on the Web of Science (WoS) database. Furthermore, we also studied whether the usage count can be used to predict the citation performances in the field of integrative complementary medicine. [Findings] There are good correlations among citation frequencies, usage count, and usage count within the recent 180 days. The higher used papers in 2014 and 2015 reached the higher citations, suggesting that the usage count can be used to predict the citation performances of papers. Moreover, the high-citation papers may lead to the second increase in usage. [Conclusions] Controversial results have been published; different criteria for the selection of time range is probably the major cause. Although the climax is different for the performance of usage and citation, they are positively correlated. Thus, our results suggest that the usage count is a good indicator for early evaluating the paper influence.

Key words: Usage count, Citation frequency, Correlation, Prediction