Advances in science and technology depend on the work of research teams and the publication of results through peer-reviewed articles representing a growing socio-economic resource. Current methods to mine the scientific literature regarding a field of interest focus on content, but the workforce credited by authorship remains largely unexplored, and appropriate measures of scientific production are debated. Here, a new bibliometric approach named TeamTree analysis is introduced that visualizes the development and composition of the workforce driving a field. A new citation-independent measure that scales with the H index estimates impact based on publication record, genealogical ties and collaborative connections. This author-centered approach complements existing tools to mine the scientific literature and to evaluate research across disciplines.

中文翻译：

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TeamTree 分析：一种评估科学生产的新方法

科学和技术的进步取决于研究团队的工作以及通过代表不断增长的社会经济资源的同行评审文章发表的结果。当前挖掘与感兴趣领域相关的科学文献的方法主要集中在内容上，但作者身份的劳动力在很大程度上仍未得到探索，科学生产的适当措施也存在争议。在这里，引入了一种名为 TeamTree 分析的新文献计量方法，该方法将推动某个领域的劳动力的发展和构成可视化。一种新的与引文无关的衡量标准，可根据出版记录、系谱关系和协作关系，根据 H 指数估计影响。这种以作者为中心的方法补充了现有工具来挖掘科学文献和评估跨学科研究。