隐藏的引用掩盖了科学中真正的影响
Xiangyi Meng1,2, Onur Varol1,3, Albert-László Barabási1,4,5
1Network Science Institute and Department of Physics, Northeastern University, Boston, MA 02115, USA.
PNAS nexus
|May 8, 2024
概括
隐藏引用,即发现在文本中被归功,而不是通过引用,比对有影响力的研究的引用数量更为常见. 这表明,文献计量测量可能低估了真正的科学影响.
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.
- 信息科学 信息科学 信息科学
背景情况:
- 引用是科学影响的标准衡量标准,但当发现成为常识时,它可能会变得模糊.
- 这种现象被称为"通过合并消灭",导致没有正式引用的隐藏引用.
研究的目的:
- 使用机器学习系统地识别和量化隐藏的引用.
- 研究科学文本中隐藏的引用,引用数和主题话语之间的关系.
主要方法:
- 应用无监督可解释的机器学习到科学论文的全文.
- 开发了检测文本信誉的方法,以发现缺乏正式引用的发现.
主要成果:
- 有影响力的发现显示出比传统的引用数量更多的隐藏引用.
- 隐藏引用在各个学科和出版机构中普遍存在.
- 隐藏引用的频率与话题话语的程度相关,而不是引用数量.
结论:
- 文献计量测量为发现的真正影响提供了一个有限的视图.
- 从完整的科学文本中提取知识对于准确的影响评估至关重要.
- 隐藏的引用突出了需要超越传统引用分析的先进分析方法.
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