• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

共享核心设施成为新兴卓越机构生物医学研究网络的枢纽。

Shared Core Facilities Serve as Hubs for Biomedical Research Network at Institutions of Emerging Excellence.

机构信息

Biomolecular Research Center Boise State University BoiseIdaho83725 USA.

Center of Biomedical Research Excellence in Matrix Biology Boise State University BoiseIdaho83725 USA.

出版信息

J Biomol Tech. 2023 Mar 8;34(1). doi: 10.7171/3fc1f5fe.2f22458d. eCollection 2023 Mar 31.

DOI:10.7171/3fc1f5fe.2f22458d
PMID:37089873
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10121238/
Abstract

We analyzed co-authorship patterns within the National Institutes of Health Center of Biomedical Research Excellence in Matrix Biology program from 2014 to 2022. In this study, we analyzed junior investigators, senior researchers, and research scientists within a shared core facility. Social network analysis techniques were applied to evaluate the co-authorship network based on journal publications from members of the center. The results indicated that co-authorship network visualization and analysis is a useful tool for understanding the relationship between a shared core facility and young investigators within a research center. Young investigators collaborated with and relied upon the individual research scientists of the shared core facility to serve as contributing members of their extended research team. This reliance on the shared core facility effectively increases the size and productivity of the research team led by the young investigator. Our results indicate that shared core facility staff may serve as hubs within the network of biomedical researchers, particularly at institutions with a growing research emphasis. Listen to this article.

摘要

我们分析了 2014 年至 2022 年期间美国国立卫生研究院生物医学卓越研究中心的合作模式。在这项研究中,我们分析了共享核心设施中的初级研究人员、高级研究人员和研究科学家。社会网络分析技术被应用于基于中心成员的期刊出版物评估合作网络。结果表明,合作网络可视化和分析是理解共享核心设施与研究中心年轻研究人员之间关系的有用工具。年轻研究人员与共享核心设施的个别研究科学家合作,并依靠他们作为其扩展研究团队的贡献成员。对共享核心设施的这种依赖有效地增加了由年轻研究人员领导的研究团队的规模和生产力。我们的研究结果表明,共享核心设施的工作人员可能是生物医学研究人员网络中的枢纽,尤其是在研究重点不断增加的机构中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d1/10121238/48fb0fa34918/jbt-34-1-41epit8d-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d1/10121238/48fb0fa34918/jbt-34-1-41epit8d-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d1/10121238/48fb0fa34918/jbt-34-1-41epit8d-g006.jpg

相似文献

1
Shared Core Facilities Serve as Hubs for Biomedical Research Network at Institutions of Emerging Excellence.共享核心设施成为新兴卓越机构生物医学研究网络的枢纽。
J Biomol Tech. 2023 Mar 8;34(1). doi: 10.7171/3fc1f5fe.2f22458d. eCollection 2023 Mar 31.
2
Center of Biomedical Research Excellence in Matrix Biology: Building Research Infrastructure, Supporting Young Researchers, and Fostering Collaboration.生物医学研究卓越中心:构建研究基础设施,支持青年研究人员,促进合作。
Int J Mol Sci. 2020 Mar 20;21(6):2141. doi: 10.3390/ijms21062141.
3
Collaborative patterns, authorship practices and scientific success in biomedical research: a network analysis.协作模式、作者行为与生物医学研究的科学成功:网络分析。
J R Soc Med. 2019 Jun;112(6):245-257. doi: 10.1177/0141076819851666.
4
Efficacy of Centers of Biomedical Research Excellence (CoBRE) grants to build research capacity in underrepresented states.卓越生物医学研究中心(CoBRE)拨款在代表性不足的州建设研究能力的效果。
FASEB J. 2024 Mar 31;38(6):e23560. doi: 10.1096/fj.202301610R.
5
Data Management Tools to Measure the Impact of Core Facilities.数据管理工具可用于衡量核心设施的影响。
J Biomol Tech. 2021 Jul;32(2):63-73. doi: 10.7171/jbt.20-3203-002.
6
Evolution of Cooperation Patterns in Psoriasis Research: Co-Authorship Network Analysis of Papers in Medline (1942-2013).银屑病研究中合作模式的演变:Medline数据库(1942 - 2013年)论文的共同作者网络分析
PLoS One. 2015 Dec 11;10(12):e0144837. doi: 10.1371/journal.pone.0144837. eCollection 2015.
7
The scientific productions in Iranian biomedical ethics: A combined study of bibliometrics and social network analysis.伊朗生物医学伦理学领域的科研成果:文献计量学与社会网络分析的综合研究
Dev World Bioeth. 2022 Sep;22(3):126-139. doi: 10.1111/dewb.12306. Epub 2021 Jan 13.
8
Assessing Research Collaboration through Co-authorship Network Analysis.通过合著网络分析评估研究合作
J Res Adm. 2018 Spring;49(1):76-99.
9
Co-authorship network analysis in health research: method and potential use.健康研究中的共同作者网络分析:方法与潜在用途。
Health Res Policy Syst. 2016 Apr 30;14(1):34. doi: 10.1186/s12961-016-0104-5.
10
U.S. National Institutes of Health core consolidation-investing in greater efficiency.美国国立卫生研究院核心整合——提高效率的投资。
J Biomol Tech. 2015 Apr;26(1):1-3. doi: 10.7171/jbt.15-2601-003.

引用本文的文献

1
RAIN: a multistate research alliance to facilitate collaboration, increase student opportunities, and share core facility resources.RAIN:一个多州研究联盟,旨在促进合作、增加学生机会并共享核心设施资源。
Adv Physiol Educ. 2025 Jun 1;49(2):374-385. doi: 10.1152/advan.00217.2024. Epub 2025 Feb 13.

本文引用的文献

1
Organizing core facilities as force multipliers: strategies for research universities.将核心设施组织为增效器:研究型大学的策略。
J Biomol Tech. 2021 Apr;32(1):36-41. doi: 10.7171/jbt.21-3202-002.
2
Building a Sustainable Portfolio of Core Facilities: a Case Study.构建核心设施的可持续组合:一个案例研究
J Biomol Tech. 2018 Sep;29(3):79-92. doi: 10.7171/jbt.18-2903-003. Epub 2018 Aug 6.
3
Institutional core facilities: prerequisite for breakthroughs in the life sciences: Core facilities play an increasingly important role in biomedical research by providing scientists access to sophisticated technology and expertise.
机构核心设施:生命科学突破的先决条件:核心设施通过为科学家提供使用先进技术和专业知识的机会,在生物医学研究中发挥着越来越重要的作用。
EMBO Rep. 2016 Aug;17(8):1088-93. doi: 10.15252/embr.201642857. Epub 2016 Jul 13.
4
Sharing Core Facilities and Research Resources--An Investment in Accelerating Scientific Discoveries.共享核心设施与研究资源——加速科学发现的一项投资。
J Biomol Tech. 2016 Apr;27(1):2-3. doi: 10.7171/jbt.16-2701-004. Epub 2016 Jan 11.
5
Eigencentrality based on dissimilarity measures reveals central nodes in complex networks.基于差异度量的特征向量中心性揭示了复杂网络中的中心节点。
Sci Rep. 2015 Nov 25;5:17095. doi: 10.1038/srep17095.
6
ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software.ForceAtlas2,一种为Gephi软件设计的用于便捷网络可视化的连续图布局算法。
PLoS One. 2014 Jun 10;9(6):e98679. doi: 10.1371/journal.pone.0098679. eCollection 2014.
7
Method for tracking core-contributed publications.核心贡献出版物的追踪方法。
J Biomol Tech. 2012 Dec;23(4):122-7. doi: 10.7171/jbt.12-2304-003.
8
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality.科学合作网络。II. 最短路径、加权网络与中心性。
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Jul;64(1 Pt 2):016132. doi: 10.1103/PhysRevE.64.016132. Epub 2001 Jun 28.
9
Scientific collaboration networks. I. Network construction and fundamental results.科学合作网络。I. 网络构建与基本结果。
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Jul;64(1 Pt 2):016131. doi: 10.1103/PhysRevE.64.016131. Epub 2001 Jun 28.
10
The structure of scientific collaboration networks.科学合作网络的结构
Proc Natl Acad Sci U S A. 2001 Jan 16;98(2):404-9. doi: 10.1073/pnas.98.2.404. Epub 2001 Jan 9.