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Chinese Journal of Diagnostics(Electronic Edition) ›› 2019, Vol. 07 ›› Issue (02): 137-140. doi: 10.3877/cma.j.issn.2095-655X.2019.02.014

Special Issue:

• Journal Research • Previous Articles     Next Articles

Statistical analysis of articles in Chinese Journal of Diagnostics (Electronic Edition) from 2016 to 2018

Fen Cui1, Houxing Qi1,(), Chenghui Yang1   

  1. 1. Editorial Department of Chinese Journal of Diagnostics (Electronic Edition), Jining Medical University, Jining 272067, China
  • Received:2019-02-22 Online:2019-05-26 Published:2019-05-26
  • Contact: Houxing Qi
  • About author:
    Corresponding author: Qi Houxing, Email:

Abstract:

Objective

To investigate the papers published in the Chinese Journal of Diagnostics (Electronic Edition) from 2016 to 2018.

Methods

All articles published in the Chinese Journal of Diagnostics (Electronic Edition) from 2016 to 2018 were analyzed, including the number, column and style of published articles, the institution and area distribution of the first author.

Results

From 2016 to 2018, 12 issues of the Chinese Journal of Diagnostics (Electronic Edition) were published, with 864 pages, 17.75 items per tissue and 4.06 pages per item. Original articles (125) were the main style of published papers, accounting for 58.69%, while review articles(68) accounted for 31.92%. There were 138 articles on clinical medicine, accounting for 64.79%, among which 29 articles on diseases of circulation system, accounting for 13.62%.Authors were distributed in 25 provinces or autonomous regions, in 65 institutions, mostly in economically developed areas, among which Shandong amounted for 39.44%(84). It had a steady author group, the citations were 17.73-21.20 per article which increased year by year.

Conclusions

From 2016 to 2018, the annual published articles and paper density on Chinese Journal of Diagnostics (Electronic Edition) decrease, and its main style of published papers is the original article, clinical research is the majority. The authors are nation-wide distribution, and the citations per article increase.

Key words: Published articles amount, Citation amount, Author distribution

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