Recent research has shifted to investigating knowledge integration in an interdisciplinary field and measuring the interdisciplinarity. Conventional citation analysis does not consider the context of citations, which limits the understanding of interdisciplinary knowledge integration. This study introduces a novel analytical framework to characterize interdisciplinary knowledge integration by both the content, i.e., integrated knowledge phrases (IKPs), and location of citances (i.e., citing sentences) in addition to citations. Seven knowledge categories are used to classify IKPs, including Research Subject, Theory, Research Methodology, Technology, Human Entity, Data, and Others. The eHealth field is explored as an exemplar interdisciplinary field in the case study. The result reveals that the ranks of source disciplines quantified by the integrated knowledge phrases are different from those by citations, especially in terms of average knowledge integration density. The distributions of the IKPs over the knowledge categories differ among source disciplines, indicating their different contributions to knowledge integration of eHealth field. The knowledge from adjacent disciplines is integrated into the field faster than that from other disciplines. Knowledge distributions over sections of articles are also different among source disciplines, and a correlation between knowledge categories and the sections they were used is observed. The analytical framework offers a way to better understand an interdisciplinary field by disclosing the characteristics of interdisciplinary knowledge integration from the perspective of knowledge content and usage.

最近的研究已经转向调查跨学科领域的知识整合和衡量跨学科性。传统的引文分析没有考虑引文的上下文，这限制了对跨学科知识整合的理解。本研究引入了一种新的分析框架，通过内容（即综合知识短语（IKP））和引文的位置（即引用句子）以及引文来表征跨学科知识整合。七个知识类别用于对 IKP 进行分类，包括研究主题、理论、研究方法、技术、人类实体、数据和其他。在案例研究中，电子医疗领域被视为跨学科领域的典范。结果表明，综合知识短语量化的源学科排名与引用排名不同，尤其是在平均知识整合密度方面。IKPs 在知识类别上的分布因源学科而异，表明它们对 eHealth 领域知识整合的贡献不同。相邻学科的知识比其他学科的知识更快地融入该领域。文章章节的知识分布在来源学科之间也不同，并且观察到知识类别和它们使用的章节之间的相关性。