摘要：

目的 探索大数据环境下期刊的影响力及其研究方法。方法 拟提出一种如何利用（百度）大型网络计算节点进行大数据研究的方法,以及如何利用计算机网络进行期刊读者大数据调查,并以《中华医学杂志》为研究对象,借助百度指数平台,进行大数据分析和挖掘。结果 五年来该杂志的关注度下降了三分之一。关注者以男性为主,主要是医学专业的学者,他们关注期刊等级和投稿。其关注热度由东南沿海向西北内陆逐步减少。建议该杂志上“知网”,以扩大其影响力。结论 百度指数可以作为科技期刊影响力分析的指标。

关键词: 百度指数, 期刊影响力, 大数据, 密集型数据处理, 《中华医学杂志》

Abstract:

[Purposes] This paper aims to explore the influence of big data on periodicals and its researchmethods.[Methods] This paper proposed amethod of how to use（Baidu） large scale network computing nodes to carry out big data research, and how to make use of the computer network to carry out the investigation of the big data of the periodical readers.The National Medical Journal of China was taken as an example w ith the help of the Baidu index platform for big data analysis andm ining.[Findings] In more than five years recently,the attention to the National Medical Journal of China was decreased by about1/3.The people who pay attention to it aremainly malemedical professionals,and they focus on the journal grades and contributions.From the east to the west of China, the number of individuals concerned about the journal gradually reduces.It uses CNKI（China National Know ledge Infrastructure） to expand its influence.[Conclusions] The Baidu index can be used as an indicator of the influence analysis of scientific journals.

Key words: Baidu Index, Big data, Intensive data processing, National Medical Journal of China