基于网络的规范化影响测量揭示了跨学科科学发现的成功时期
Qing Ke1, Alexander J Gates2, Albert-László Barabási3,4,5
1School of Data Science, City University of Hong Kong, Hong Kong, China.
概括
这项研究引入了一种新的基于网络的方法来衡量科学影响,克服传统引用数量的偏见. 这种方法可以公平地比较不同领域和不同时期的研究.
科学领域:
- 图书统计学 图书统计学
- 网络科学 网络科学
- 科学测量公司的科学测量.
背景情况:
- 衡量科学影响的传统引用数量因学科和时间而有偏见.
- 现有的方法通常依赖于预定义的学科标签,无法解释领域内的学科变化.
研究的目的:
- 开发一种新的基于网络的方法来量化研究影响.
- 消除影响评估中的特定学科偏见.
- 能够公平地比较不同领域和出版年份的科学贡献.
主要方法:
- 开发了一种基于网络的方法,将文章与本地类似的研究进行比较.
- 这种方法避免了对先验学科标签的需求.
- 在不同年份和学科中证明了影响测量的普遍性.
主要成果:
- 拟议的影响措施不受纪律和时间的偏见.
- 它遵循所有物品的普遍分布.
- 在各种学科中确定了高影响力的研究和时间生产动态,包括地质科学和光学等较小领域.
结论:
- 基于网络的方法提供了一个科学影响的公正指标.
- 它有助于公平地比较整个科学领域的研究贡献.
- 这种方法为科学进化提供了洞察力,并有助于识别来自不同领域的重大突破.
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