{"title":"Factors influencing the research impact in cancer research: a collaboration and knowledge network analysis.","authors":"Shuang Liao, Christopher Lavender, Huiwen Zhai","doi":"10.1186/s12961-024-01205-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":12870,"journal":{"name":"Health Research Policy and Systems","volume":"22 1","pages":"96"},"PeriodicalIF":3.6000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304674/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Research Policy and Systems","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12961-024-01205-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
背景:癌症是全球面临的一项重大公共卫生挑战。然而,人们对癌症研究群体的演变模式及其研究能力和影响力的影响因素知之甚少。研究能力和影响力不仅受到通过研究合作建立的社会网络的影响,还受到研究项目所处的知识网络的影响:本研究的重点是癌症研究中的一个特定主题--"合成致死性"。在过去十年中,该领域的多学科合作蓬勃发展。根据 "合成致死性 "相关癌症研究论文的文献计量数据,建立并分析了多层次合作和知识网络。我们进一步应用负二叉回归分析来探讨这些网络中的节点属性以及其他潜在因素如何影响论文引用率,论文引用率被广泛认为是评估研究能力和影响力的代理指标:我们的研究表明,基于合成致死率的癌症研究领域的特点是知识网络具有高度整合性,同时协作网络也表现出一定的集群性。我们发现,某些因素与引用次数之间存在明显的相关性。具体来说,在国家级国际合作网络中的领先地位和产业参与都与高引用率有显著关系。在个人层面的合作网络中,主要作者的程度中心性与引文量呈倒 U 型关系,而其结构洞则表现出显著的正向影响。然而,在知识网络中,只有结构洞的度量对引用次数有积极而显著的影响:为提高癌症研究能力和影响力,非领先国家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为有效。还应鼓励产学合作,加强人力资源、技术、资金、研究平台和医疗资源的整合。本研究获得的启示还为研究人员或管理者从知识网络角度设计未来研究方向提供了建议。关注独特的问题,尤其是跨学科领域的问题,将提高产出并影响他们的研究工作。
期刊介绍:
Health Research Policy and Systems is an Open Access, peer-reviewed, online journal that aims to provide a platform for the global research community to share their views, findings, insights and successes. Health Research Policy and Systems considers manuscripts that investigate the role of evidence-based health policy and health research systems in ensuring the efficient utilization and application of knowledge to improve health and health equity, especially in developing countries. Research is the foundation for improvements in public health. The problem is that people involved in different areas of research, together with managers and administrators in charge of research entities, do not communicate sufficiently with each other.