Using temporal heatmaps to identify worthwhile articles on immune checkpoint blockade for melanoma (ICBM) in Mainland China, Hong Kong, and Taiwan since 2000: A bibliometric analysis

Abstract

Background: Melanoma is a life-threatening form of skin cancer. Due to its remarkable effectiveness, the immune checkpoint blockade is widely used to treat melanoma (ICBM). No research has been conducted on ICBM for identifying the most readable articles. A bibliometric analysis of 100 top-cited ICBM (T100ICBM) in recent decades is required to highlight articles worth reading. Methods: Based on the Web of Science Core Collection, we summarized the articles on ICBM published in each year from 2000 to 2022, with first authors from Mainland China, Hong Kong, and Taiwan (CHT). Using the CJAL score, data extraction and visualization of the distribution of ICBM publications were conducted on 2718, and 100 top-cited articles, respectively. We used the temporal heatmap to identify the most readable articles. Four descriptive, diagnostic, predictive, and prescriptive analytics (called DDPP model) were applied to describe the features of T100ICBM articles. The absolute advantage coefficient was used to determine the dominance extent of the most influential region, institute, department, and author. Results: A total of 2718 publications was included after removing first or corresponding authors who were not affiliated with CHT. Publications by year showed a sharp increase from 2014 onward and either peaked in 2022 or have not yet peaked. It was evident that there was a large difference between the number of publications in provinces/metropolitan cities/regions on CHT. Beijing, Sichuan University, Oncology, and Guo Jun from Beijing are the most prolific and influential region, institute, department, and author. When comparing research achievements to the next productive authors based on the CJAL score, only Dr Jun has a medium effect of dominance (=0.60). On the basis of their consecutive growth in citations over the past 4 years, 20 T100ICBM articles were recommended for readers. Conclusion: The field of ICBM is growing rapidly, and Beijing and Sichuan University are taking the lead in CHT. Furthermore, the study provides references for worth-reading articles using the temporal heatmap. Future research hot spots may focus on these 4 themes of immunotherapy, melanoma, metastatic melanoma, regulatory T cells, cells, and activation, which may pave the way for additional study.

Analyzing shifts in age-related macular degeneration research trends since 2014: A bibliometric study with triple-map Sankey diagrams (TMSD)

“…The descriptive, diagnostic, predictive, and prescriptive analytics (DDPP) model was employed in a structured bibliometric analysis, as referenced in studies. [20][21][22][23] This model enables us to comprehend the development of various entities, such as authors, affiliated countries, keywords, research topics (e.g., research themes), or journals. It also allows us to discern patterns in scientific studies across different subject fields, as indicated in.…”

“…Another important aspect of this research is its use of the DDPP model. [20][21][22] This model is a versatile tool that can be used for descriptive, diagnostic, predictive, and prescriptive analytics. The choice of analytic approach depends on the nature of the question and the insights that are being sought.…”

Visualizing burst spots on research for four authors in MDPI journals named to be Citation Laureates 2021 using temporal bar graph

“…The TBG has been illustrated in bibliographical studies, [2,27,35] but no such IP points combined on the TBG, as we demonstrated in Figure 6. As such, the temporal visualization can be further improved when compared to the previous studies [30,[36][37][38][39][40][41][42][43][44][45][46][47][48][49][50] using trend analysis.…”

Analyzing the number of articles with network meta-analyses using chord diagrams and temporal heatmaps over the past 10 years: Bibliometric analysis

“…Furthermore, citation prediction [34][35][36][37] has been employed in bibliometrics to predict article citations based on weighted scores of article keywords, and THM has been applied to display articles worth reading. [31,32,38] In this manner, the DDPP model can be used to conduct a comprehensive bibliometric analysis of MA articles.…”

“…Using THM, [31,32,38] we extracted articles worth reading from T100 articles, which were determined based on their high citations and increasing growth rates over the past 4 years (from 2019 to 2022).…”