Datasets for bibliometric analysis of regulatory T cells in gastric cancer (2005-2025)
<p dir="ltr"><b>Description:</b><br>This dataset supports the findings of the bibliometric review article titled "Global Research Landscape of Regulatory T Cells in Gastric Cancer: A Comprehensive Bibliometric Analysis (2005-2025)". It contains the process...
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2025
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Cuir clib leis
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| Achoimre: | <p dir="ltr"><b>Description:</b><br>This dataset supports the findings of the bibliometric review article titled "Global Research Landscape of Regulatory T Cells in Gastric Cancer: A Comprehensive Bibliometric Analysis (2005-2025)". It contains the processed and cleaned data used to generate all analyses, figures, and tables in the manuscript.</p><p dir="ltr"><b>Data Source:</b><br>The raw data was retrieved from the Web of Science Core Collection (WoSCC) on October 15, 2025.</p><p dir="ltr"><b>Dataset Contents:</b></p><ol><li><code><strong>Cleaned_Bibliometric_Data.txt</strong></code>: The primary dataset containing the full collection of 464 publications after deduplication and cleaning. Key fields include: Title, Authors, Journal, Publication Year, Abstract, Author Keywords, WoS Categories, Citation Count, and Reference List.</li><li><code><strong>Top_10_Percent_Cited_Articles.txt</strong></code>: A subset of the 50 most-cited publications (approximately the top 10%) used for the high-impact publication analysis. Includes all fields from the primary dataset plus additional categorization.</li></ol><p dir="ltr"><b>Methodology:</b><br>Data cleaning and standardization were performed using R and Bibliometrix. The datasets provided here are the final, analysis-ready versions used as input for VOSviewer, CiteSpace, and Bibliometrix to create the co-authorship networks, keyword co-occurrence maps, and citation analyses presented in the manuscript.</p><p dir="ltr"><b>Usage Notes:</b><br>These datasets can be used to replicate the study's findings, serve as a baseline for future bibliometric studies in immuno-oncology, or be integrated with other data sources for expanded analyses.</p> |
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