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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/32322

    標題: Applying Gini coefficient to evaluate the author research domains associated with the ordering of author names A bibliometric study
    作者: Chien, Tsair-Wei
    Chow, Julie Chi
    Chang, Yu
    Chou, Willy
    貢獻者: Chi Mei Med Ctr, Med Res Dept
    Chi Mei Med Ctr, Dept Paediat
    Natl Taiwan Univ, Sch Med
    Chia Nan Univ Pharm & Sci, Coll Leisure & Recreat Management, Dept Sports Management
    Chi Mei Med Ctr, Ncphrol Dept
    關鍵字: authorship collaboration
    Gini coefficient
    Google Maps
    personal impact factor
    PubMed library
    social network analysis
    日期: 2018-09
    上傳時間: 2019-12-16 09:35:37 (UTC+8)
    摘要: Background: Team science research includes the number of coauthors in publications. Many papers have discussed the ordering of author names and the contributions of authors to a paper. However, no paper addresses the relation between authors' research domains and personal impact factors (PIF) with the ordering of author names. We aimed to apply Gini coefficient (GC) to evaluate the author research domains associated with the PIF and the ordering of author names on academic papers. Methods: By searching the PubMed database (Pubmed. com), we used the keyword " medicine" [journal] and downloaded 10,854 articles published from 1969 to 2018. A total number of 7502 articles labeled with complete author's countries/areas were included in data analysis. We also proposed a PIF index and jointly applied social network analysis (SNA), the GC, and Google Maps to report the following data with visual representations: the trend of author collaboration in Medicine; the dominant nations and keywords in Medicine; and the author research domains in Medicine associated with the PIF and the ordering of author names on academic papers. Results: The trend of author collaboration in Medicine is slightly declining (= -0.06) based on the number of authors per article. The mean number of individuals listed as authors in articles is 7.5. Most first authors are from China (3649, 48.64%) and Taiwan (847, 11.29%). The median of GC (0.32) and PIF (0.74) for the middle authors are obviously less than those for the first (0.53, 2.19) and the last authors (0.42, 2.61). A perfect positive linear relation with a large effect exists between GC and PIF because the correlation coefficient is 0.68 (> 0.50, t= 2.48, n= 9). Conclusion: Results suggest that the corresponding author is submitting the manuscript to the target journal with a core author's academic background and the personal impact factor related to the research domain and the journal scope in the future. As such, peer reviewers can quickly determine whether the manuscript is a potentially citable research paper.
    關聯: Medicine, v.97, n.39, e12418
    Appears in Collections:[運動管理系] 期刊論文

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