Department of Urology, Chi Mei Hospital (Chiali), Tainan, Taiwan.
Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan.
Medicine (Baltimore). 2022 Oct 14;101(41):e31052. doi: 10.1097/MD.0000000000031052.
BACKGROUND: A urinary tract infection (UTI) is one of the most common types of infections affecting the urinary tract. When bacteria enter the bladder or kidney and multiply in the urine, a URI can occur. The urethra is shorter in women than in men, which makes it easier for bacteria to reach the bladder or kidneys and cause infection. A comparison of the research differences between Urology and Nephrology (UN) authors regarding UTI pertaining to the 4 areas (i.e., Chronic Kidney Disease, Hemodialysis, Peritoneal Dialysis, and Renal Transplantation [CHPR]) is thus necessary. We propose and verify 2 hypotheses: CHPR-related articles on UTI have equal journal impact factors (JIFs) in research achievements (RAs) and UN authors have similar research features (RFs). METHODS: Based on keywords associated with UTI and CHPR in titles, subject areas, and abstracts since 2013, we obtained 1284 abstracts and their associated metadata (e.g., citations, authors, research institutes, departments, countries of origin) from the Web of Science core collection. There were 1030 corresponding and first (co-first) authors with hT-JIF-indices (i.e., JIF was computed using hT-index rather than citations as usual). The following 5 visualizations were used to present the author's RA: radar, Sankey, time-to-event, impact beam plot, and choropleth map. The forest plot was used to distinguish RFs by observing the proportional counts of keyword plus in Web of Science core collection between UN authors. RESULTS: It was observed that CHPR-related articles had unequal JIFs (χ2 = 13.08, P = .004, df = 3, n = 1030) and UN departments had different RFs (Q = 53.24, df = 29, P = .004). In terms of countries, institutes, departments, and authors, the United States (hT-JIF = 38.30), Mayo Clinic (12.9), Nephrology (19.14), and Diana Karpman (10.34) from Sweden had the highest hT-JIF index. CONCLUSION: With the aid of visualizations, the hT-JIF-index and keyword plus were demonstrated to assess RAs and distinguish RFs between UN authors. A replication of this study under other topics and in other disciplines is recommended in the future, rather than limiting it to UN authors only, as we did in this study.
背景：尿路感染（UTI）是最常见的感染类型之一，影响尿路。当细菌进入膀胱或肾脏并在尿液中繁殖时，就会发生尿路感染。女性的尿道比男性短，这使得细菌更容易进入膀胱或肾脏并引起感染。因此，有必要比较泌尿外科和肾脏病学（UN）作者在尿路感染（UTI）方面的研究差异，涉及 4 个领域（即慢性肾脏病、血液透析、腹膜透析和肾移植 [CHPR]）。我们提出并验证了两个假设：CHPR 相关的 UTI 文章在研究成果（RA）中的期刊影响因子（JIF）相等，并且 UN 作者具有相似的研究特征（RF）。
方法：基于 2013 年以来标题、主题领域和摘要中与 UTI 和 CHPR 相关的关键字，我们从 Web of Science 核心合集获得了 1284 篇摘要及其相关元数据（例如引文、作者、研究机构、部门、原籍国）。有 1030 位对应和第一（共同第一）作者具有 hT-JIF 指数（即使用 hT 指数而不是通常的引文计算 JIF）。以下 5 种可视化方法用于展示作者的 RA：雷达图、桑基图、时间事件图、影响梁图和专题地图。使用森林图通过观察 Web of Science 核心集合中 UN 作者关键字加的比例计数来区分 RF。
结果：观察到 CHPR 相关文章的 JIF 不平等（χ2 = 13.08，P =.004，df = 3，n = 1030），UN 部门的 RF 不同（Q = 53.24，df = 29，P =.004）。就国家、机构、部门和作者而言，美国（hT-JIF = 38.30）、Mayo 诊所（12.9）、肾脏病学（19.14）和瑞典的 Diana Karpman（10.34）具有最高的 hT-JIF 指数。
结论：借助可视化，hT-JIF 指数和关键字加被证明可用于评估 RA 并区分 UN 作者之间的 RF。建议在未来的其他主题和学科中复制这项研究，而不是像我们在这项研究中那样仅局限于 UN 作者。
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