团队规模和引文影响之间的反转U形关系:责任传播的调解作用
Yetong Gan1, Jialin Liu1, Yixuan Zhao1
1School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, China.
Accountability in research
|January 2, 2024
概括
较大的研究团队显示收益下降,责任扩散调解了这一效应. 适度的传播最能提高引用的影响,提供了对协作动态的见解.
科学领域:
- 图书统计学 图书统计学
- 科学测量公司的科学测量.
- 研究政策研究政策
背景情况:
- 研究合作正在增加,但更大的团队并不总是带来相应的绩效增长.
- 解释研究中增加团队规模的有限好处的潜在机制仍然不清楚.
研究的目的:
- 使用作者贡献数据量化责任扩散.
- 调查责任扩散在合作规模和引用影响之间的关系中扮演的调解角色.
- 探索团队规模,责任扩散和引用数量之间的曲线关系.
主要方法:
- 基于作者贡献信息的责任传播量化.
- 统计分析以确定责任扩散的调解作用.
- 检查团队规模和引用数量 (四年窗口) 之间的关系.
主要成果:
- 在团队规模和引用数量之间观察到一个反转的U形关系.
- 责任扩散部分介绍了团队规模和引用影响之间的联系.
- 增加团队规模与更高程度的责任扩散相关.
- 责任扩散表现出与引用数的反向U形关系,中等水平产生最高影响.
结论:
- 责任扩散是解释合作规模如何影响研究绩效的关键机制.
- 研究结果表明,最佳的研究合作包括管理团队规模,以平衡责任的扩散.
- 群体认知视角为应对研究协作挑战提供了实际意义.
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