Department of Dermatology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Medical Research Department, Chi-Mei Medical Center, Tainan, Taiwan.
Medicine (Baltimore). 2022 Jul 29;101(30):e29396. doi: 10.1097/MD.0000000000029396.
Psoriasis Vulgaris is a chronic inflammatory disease characterized by keratinocyte hyperproliferation. Bibliometric analysis helps determine the most influential article on the topic of "Psoriasis Vulgaris and biological agents (PVBAs)", and what factors affect article citation remain unclear. This study aims (1) to identify the top 100 most cited articles in PVBA (PVBA100 for short) from 1991 to 2020, (2) to visualize dominant entities on one diagram using data in PVBA100, and (3) to investigate whether medical subject headings (MeSH terms) can be used to predict article citations.
The top 100 most cited articles relevant to PVBA (1991-2020) were downloaded by searching the PubMed database. Citation analysis was applied to compare the dominant roles in article types and topic categories using pyramid plots. Social network analysis (SNA) and Sankey diagrams were applied to highlight prominent entities. We examined the MeSH prediction effect on article citations using its correlation coefficients.
The most frequent article types and topic categories were research support by institutes (46%) and drug therapy (88%), respectively. The most productive countries were the United States (38%), followed by Germany (13%) and Japan (12%). Most articles were published in Br J Dermatol (13%) and J Invest Dermatol (11%). MeSH terms were evident in the prediction power of the number of article citations (correlation coefficient=0.45, t=4.99).
The breakthrough was made by developing one dashboard to display PVBA100. MeSH terms can be used for predicting article citations in PVBA100. These visualizations of PVBA100 could be applied to future academic pursuits and applications in other academic disciplines.
寻常型银屑病是一种慢性炎症性疾病，其特征是角质形成细胞过度增殖。文献计量分析有助于确定关于“寻常型银屑病和生物制剂（PVBAs）”主题的最有影响力的文章，而影响文章引用的因素尚不清楚。本研究旨在：（1）确定 1991 年至 2020 年间 PVBAs 中被引用次数最多的前 100 篇文章（简称 PVBA100）；（2）使用 PVBA100 中的数据在一张图表上可视化主要实体；（3）研究医学主题词（MeSH 术语）是否可用于预测文章引用。
通过搜索 PubMed 数据库，下载了 1991 年至 2020 年间与 PVBAs 相关的前 100 篇被引用次数最多的文章。使用金字塔图比较了文章类型和主题类别的主导作用，进行了引文分析。应用社会网络分析（SNA）和桑基图突出显示主要实体。我们通过其相关系数检验了 MeSH 对文章引用的预测效果。
最常见的文章类型和主题类别分别是机构研究支持（46%）和药物治疗（88%）。最有生产力的国家是美国（38%），其次是德国（13%）和日本（12%）。大多数文章发表在《英国皮肤病学杂志》（13%）和《临床皮肤病学杂志》（11%）上。MeSH 术语在预测文章引用数量方面具有明显的预测能力（相关系数=0.45，t=4.99）。
本研究的突破在于开发了一个仪表板来显示 PVBA100。MeSH 术语可用于预测 PVBA100 中的文章引用。这些对 PVBA100 的可视化可以应用于未来的学术研究和其他学术领域的应用。
