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影响癌症研究中研究影响力的因素:合作与知识网络分析

Factors influencing the research impact in cancer research: a collaboration and knowledge network analysis.

作者信息

Liao Shuang, Lavender Christopher, Zhai Huiwen

机构信息

State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, No. 651 Dongfeng East Road, Guangzhou, 510060, Guangdong, People's Republic of China.

出版信息

Health Res Policy Syst. 2024 Aug 6;22(1):96. doi: 10.1186/s12961-024-01205-8.

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.

摘要

背景

癌症是全球主要的公共卫生挑战。然而,对于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,这些因素不仅受到通过研究合作建立的社会网络的影响,还受到研究项目所嵌入的知识网络的影响。

方法

本研究的重点缩小到癌症研究中的一个特定主题——“合成致死性”。在过去十年中,该领域发展蓬勃且多学科协作不断。基于与“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协作和知识网络。进一步应用负二项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次数,论文引用次数被广泛视为评估研究能力和影响力的指标。

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点是具有高度整合的知识网络,以及呈现出一定聚类性的协作网络。我们发现某些因素与引用次数之间存在显著相关性。具体而言,国家级国际协作网络中的领先地位和行业参与都与较高的引用次数显著相关。在个人层面的协作网络中,第一作者的度中心性与引用次数呈倒U形关系,而他们的结构洞则呈现出正向且显著的影响。然而,在知识网络中,只有结构洞指标对引用次数有正向且显著的影响。

结论

为了提高癌症研究能力和影响力,非领先国家应采取措施提升其国际协作地位。对于早期职业研究人员来说,增加合作者数量似乎更有效。还应鼓励产学研合作,加强人力资源、技术、资金、研究平台和医疗资源的整合。通过本研究获得的见解也为研究人员或管理人员从知识网络角度设计未来研究方向提供了建议。关注独特问题,特别是跨学科领域,将提高产出并影响他们的研究工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c5f/11304674/a4d31a1f9276/12961_2024_1205_Fig1_HTML.jpg

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