英文摘要 |
Several charts were used to compare the publications of research institutions. Sankey diagrams were not used by any of the studies to present their findings and results, especially when displaying trends and turning points in the reports. Based on articles published in the Journal of Taiwan Association for Medical Informatics since 2005, 1033 names of authors were matched with authors of 7013 articles indexed in PubMed from 2017 to 2021. We used cluster analysis to identify the top ten research teams using social network analysis. The mean number of publications among the teams was compared using a forest plot. A Sankey diagram was drawn to illustrate the trends of publications in ten research institutes based on six variables (year, city, institute, journal, document type, subject category, and author). We constructed a dot plot of the top 100 most cited articles using the percentiles of citations and publication years as axes x and y, respectively. We observed that (1) three of the top research teams were represented by Chien-Yu Lin, Wu-Chien Chien, and Tzeng-Ji Chen; (2) more mean publications in research teams have been authored by Chien-Yu Lin, Wu-Chien Chien, and Der-Yuan Chen; (3) the perception of one look worthy of 1000 words was evident in Sankey when compared to other types of visualizations; and (4) the most cited article (with a PMID of 30637094 and 2417 citing articles) in the dot plot was published in J Extracell Vesicles in 2018 and was written by Yu-Ting Chang, an attending physician at Taiwan University Hospital who is also an attending physician of the Hepatobiliary Department. Sankey's visualization is superior to other visualizations, particularly when used to highlight a number of dimensions within a graph with a glance. Sankey's visualizations were demonstrated and recommended for applications in bibliometrics and other areas of data analysis. |