In traditional research, the application of quantitative measurement on the value and influence of uncited papers is not feasible owing to the lack of data. The rapid advancement of social media has offered a new path for the dissemination of scientific papers and gain influence. In this thesis, the uncited papers published during 2006–2014 with a 5-year window on PLOS ONE journals from the Web of Science core collection was selected. A measurement model was built for the influence of uncited papers on social media dimension based on its Discussed, Saved, and Viewed data to explore the dynamic evolution track of the influence and determine the patterns of interaction. We found that uncited papers have a universal and significant influence on social media platforms. Besides, the evolution pattern of influence of the uncited papers can be illustrated by the layer-to-layer aggregation model of “document properties → three indicators → influence” Overall, the findings of this thesis are referential to the quantitative measurement of the influence of uncited papers.

中文翻译：

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未引用的论文一定都是非影响性论文吗？定量分析

在传统研究中，由于缺乏数据，对未引用论文的价值和影响进行定量测量是不可行的。社交媒体的快速发展为科学论文的传播和影响提供了新的途径。本论文选取了 2006-2014 年间发表在 PLOS ONE 期刊上 5 年窗口期的未引用论文，这些论文来自 Web of Science 核心合集。基于未引用论文的Discussed、Saved和Viewed数据，建立未引用论文对社交媒体维度影响的测量模型，探索影响的动态演化轨迹，确定交互模式。我们发现未引用论文对社交媒体平台具有普遍而显着的影响。除了，