社團法人臺灣臨床藥學會

目的：主要目的為探討臺灣臨床藥學雜誌 (Formosa Journal of Clinical Pharmacy, FJCP) 刊載文章的屬性與趨勢等樣態分布，分析作者間的合作關聯；次要目的為分析FJCP 作者在國際學術期刊發表的影響力。
方法：下載FJCP 自2012 ~ 2018 年收錄不重複作者文章的中、英文姓名，以文獻計量學方法進行年度文章屬性與趨勢等相關性分析；另於PubMed 中搜尋2015 ~ 2016 年機構名稱含Taiwan 之國際期刊論文及被引用的次數；以社會網絡分析法分析作者在論文的貢獻權重、被引用論文量等，再以Rasch rating scale model 計算各作者的學術影響點數。
結果：總發表率以北區醫療機構46.94% 最高，原著文章占FJCP 40.41%，醫院藥學學門的文章達60% 以上。每篇投審稿期程平均耗時小於110 天，稿件平均接受率為73.13%，然文章平均被引用率偏低。文章透過跨院際合作發表的著作主要為北區及南區醫學中心體系醫院。本雜誌作者曾發表文章於國際期刊且被收錄在PubMed的中者有189 人的論文曾被引用，而作者影響指數 (author impact factor, AIF) ≥ 7 者有2 位。
結論：利用文獻計量法研究雜誌收錄文章的屬性與趨勢有助於發現雜誌的優、缺點而進行改善；透過社會網絡視覺化的分析可觀察到作者學術影響力的大小及醫療機構間學術風氣的差異與跨院際合作的情形，是網路科技在文獻計量上的另一應用。

Objective: To explore the distribution of the attributes and trends of articles published in the Formosa Journal of Clinical Pharmacy (FJCP) and to analyze the cooperation association among authors.
Methods: The non-repeating authors’ articles published in the FJCP between 2012–2018 was collected to analyzed the correlation between article attributes and trends with bibliometrics, and search PubMed from 2015–2016 those entitled with “Taiwan” were further collected to obtain the impact factors. The social network analysis was later used to analyze the contribution weight for authors and their amounts of articles been cited, and Rasch rating scale model was used to calculate the authors’ academic influence.
Results: The highest total publication rate of FJCP was 46.94% in north institution; original article accounted for 40.41%, with ≥ 60% of them being hospital pharmacy related. The average peer-review period was less than 110 days, with the acceptance for publication of 73.13%. However, the citation rate was low. Most of authors’ publications by inter-institutional cooperation were from northern and southern medical center systems. In the PubMed’s publications, 189 authors’ articles had been cited and only 2 authors had author impact factor of ≥ 7.
Conclusions: The attributes and trends of the journal articles analyzed with the bibliometrics help us to understand how a journal is discriminated. Through the visualization of social network analysis, the academic influence of the author and the academic atmosphere among the hospital scan is revealed.