背景:癌症是全球主要的公共卫生挑战。然而,对癌症研究社区的演变模式及其研究能力和影响的影响因素知之甚少,这不仅受到通过研究合作建立的社交网络的影响,也受到研究项目嵌入的知识网络的影响。
方法:本研究的重点是癌症研究中的一个特定主题——“合成致死性”。在过去的十年中,这一领域取得了蓬勃发展和多学科合作。根据与“合成致死性”相关的癌症研究论文的文献计量数据,建立并分析了多层次的合作和知识网络。负二项回归分析被进一步应用于探索这些网络中的节点属性,以及其他潜在因素,受影响的论文引用,被广泛接受为评估研究能力和影响的代理。
结果:我们的研究表明,基于合成致死性的癌症研究领域的特征是具有高度集成的知识网络,除了展示一些集群的协作网络。我们发现某些因素与引文计数之间存在显着相关性。具体来说,在国家级国际合作网络中的领先地位和行业参与都被发现与更高的引用显着相关。在个人层面的协作网络中,主要作者的学位中心性与引文呈倒U型关系,而它们的结构孔表现出积极而显著的影响。在知识网络中,然而,只有结构孔的度量对引用次数有积极和显著的影响。
结论:为了提高癌症研究能力和影响力,非领导国应采取措施提高其国际合作地位。对于早期职业研究人员来说,增加合作者的数量似乎更有效。还应鼓励产学合作,加强人力资源的整合,技术,资金,研究平台和医疗资源。通过这项研究获得的见解也为研究人员或管理人员从知识网络的角度设计未来的研究方向提供了建议。专注于独特的问题,特别是跨学科领域将提高产出并影响他们的研究工作。
BACKGROUND: Cancer is a major public health challenge globally. However, little is known about the evolution patterns of cancer research communities and the influencing factors of their research capacity and impact, which is affected not only by the social networks established through research collaboration but also by the knowledge networks in which the research projects are embedded.
METHODS: The focus of this study was narrowed to a specific topic - \'synthetic lethality\' - in cancer research. This field has seen vibrant growth and multidisciplinary collaboration in the past decade. Multi-level collaboration and knowledge networks were established and analysed on the basis of bibliometric data from \'synthetic lethality\'-related cancer research papers. Negative binomial regression analysis was further applied to explore how node attributes within these networks, along with other potential factors, affected paper citations, which are widely accepted as proxies for assessing research capacity and impact.
RESULTS: Our study revealed that the synthetic lethality-based cancer research field is characterized by a knowledge network with high integration, alongside a collaboration network exhibiting some clustering. We found significant correlations between certain factors and citation counts. Specifically, a leading status within the nation-level international collaboration network and industry involvement were both found to be significantly related to higher citations. In the individual-level collaboration networks, lead authors\' degree centrality has an inverted U-shaped relationship with citations, while their structural holes exhibit a positive and significant effect. Within the knowledge network, however, only measures of structural holes have a positive and significant effect on the number of citations.
CONCLUSIONS: To enhance cancer research capacity and impact, non-leading countries should take measures to enhance their international collaboration status. For early career researchers, increasing the number of collaborators seems to be more effective. University-industry cooperation should also be encouraged, enhancing the integration of human resources, technology, funding, research platforms and medical resources. Insights gained through this study also provide recommendations to researchers or administrators in designing future research directions from a knowledge network perspective. Focusing on unique issues especially interdisciplinary fields will improve output and influence their research work.