Replication Data for: The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members (Irmak, 2020)

This dataset contains the bibliometric data used in the article “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members” published in Work (2020; 66(3):479–489), doi:10.3233/WOR-203193. The dataset includes the PubMed COVID-19 publication results, citation network edge lists, co-citation matrices, and supplementary files used to construct the citation and co-citation network analysis. The purpose of sharing this dataset is to ensure transparency, reproducibility, and reusability for researchers working in bibliometrics, COVID-19 literature analysis, and rehabilitation-related knowledge mapping. Researchers can analyze, reuse, or extend this dataset for network visualization, core article detection, temporal evolution assessment, or comparative bibliometric studies. The dataset may support further meta-research in evidence synthesis and research trends during the COVID-19 pandemic. Please cite this dataset as:Irmak, Rafet (Year). Dataset for “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members”. Zenodo. DOI: (assigned after publication). Included dataset files: • COVID19_PMID_Master_List.csv – PubMed COVID-19 PMID base list.• COVID19_Citation_Network_Edgelist.csv – Raw citation network (directed edges).• COVID19_CoCitation_Network.csv – Processed co-citation dataset.• COVID19_CoCitation_Weighted.csv – Weighted co-citation edge list. All files are in CSV format for use in R, Python, Gephi or network analysis environments.本数据集包含发表于《Work》期刊2020年第66卷第3期第479–489页、题为《被引与共引次数最多的COVID-19论文：康复团队成员的知识库》的论文所使用的文献计量数据，其DOI为10.3233/WOR-203193。 本数据集涵盖PubMed收录的COVID-19文献检索结果、引文网络边列表、共引矩阵，以及用于构建引文与共引网络分析的辅助文件。本数据集公开的目的在于为从事文献计量学、COVID-19文献分析及康复相关知识图谱研究的科研人员保障研究的透明性、可重复性与可复用性。 研究人员可对本数据集开展分析、复用或拓展工作，以实现网络可视化、核心论文识别、时间演化评估或比较文献计量研究。本数据集可为COVID-19大流行期间的证据合成与研究趋势相关元研究提供支撑。 引用本数据集请遵循以下格式：拉费特·伊尔马克（Rafet Irmak）（年份）. 《〈被引与共引次数最多的COVID-19论文：康复团队成员的知识库〉配套数据集》. Zenodo. DOI：（出版后分配）。 本数据集包含以下文件： • COVID19_PMID_Master_List.csv：PubMed COVID-19 PMID主列表 • COVID19_Citation_Network_Edgelist.csv：原始引文网络（有向边） • COVID19_CoCitation_Network.csv：已处理的共引数据集 • COVID19_CoCitation_Weighted.csv：加权共引边列表 所有文件均采用CSV格式，可适配R、Python、Gephi或各类网络分析环境。