Bibliometric Analysis of AIP Research

Bibliometric data were analyzed using HisCite (version 12.03.17), VOSviewer (version 1.6.18), CiteSpace (version 6.1.R3), and bibliometrix package (version 3.2.1; https://cran.r-project.org/web/packages/bibliometrix/) based on R language (version 4.1.2). HisCite was used to identify the number of publications and the number of citations for productive countries, institutions, and authors. The top 10 publications with the highest number of citations in AIP research were recognized by HisCite. The annual number of publications was also identified by HisCite and visualized by ggplot2 package (version 3.3.6; https://github.com/tidyverse/ggplot2) based on R language. VOSviewer was used to recognize the top 10 keywords with the highest number of occurrences, as well as the clustering of the top 50 keywords. A list of thesauri was employed for better understanding, which included “serum IgG4 concentrations,” represented by “serum IgG4”; “diagnostic criteria,” represented by “diagnosis”; “carcinoma,” represented by “cancer”; “disease,” represented by “IgG4-related disease”; “clinical feature”; and “characteristics,” represented by “features.” CiteSpace was used to construct a dual-map overlay of the journals related to AIP and to perform a keyword burst detection of the top 25 keywords with the strongest emergent strength. CiteSpace was used to measure the collaborative centrality of countries/regions, institutions, and authors. The setting of CiteSpace was as follows: scale factor k=25, the strength of links measured by cosine, the scope of links measured within slices, and pruning with pathfinder and sliced network. The distribution of publications and collaborations between countries/regions and the annual output of the top 10 most productive authors were visualized using bibliometrix package. Clustering of collaboration among countries/regions, institutions, and authors was also visualized by bibliometrix package. The ratios of original and review articles for each year were measured using bibliometrix package.