Novelty evaluation is vital for the promotion and management of innovation. With the advancement of information techniques and the open data movement, some progress has been made in novelty measurements. Tracking and reviewing novelty measures provides a data-driven way to assess contributions, progress, and emerging directions in the science field. As academic papers serve as the primary medium for the dissemination, validation, and discussion of scientific knowledge, this review aims to offer a systematic analysis of novelty measurements for scientific papers. We began by comparing the differences between scientific novelty and four similar concepts, including originality, scientific innovation, creativity, and scientific breakthrough. Next, we reviewed the types of scientific novelty. Then, we classified existing novelty measures according to data types and reviewed the measures for each type. Subsequently, we surveyed the approaches employed in validating novelty measures and examined the current tools and datasets associated with these measures. Finally, we proposed several open issues for future studies.

翻译：新颖性评估对创新的推动与管理至关重要。随着信息技术的发展和开放数据运动的推进，新颖性测度研究已取得一定进展。追踪并综述新颖性测度方法，为评估科学领域的贡献、进展及新兴方向提供了数据驱动的途径。鉴于学术论文是科学知识传播、验证与讨论的主要载体，本文旨在对学术论文新颖性测度研究进行系统性分析。首先，我们比较了科学新颖性与四个相近概念（原创性、科学创新、创造力及科学突破）的差异。其次，我们梳理了科学新颖性的类型。接着，我们依据数据类型对现有新颖性测度方法进行分类，并逐类评述其测量方式。随后，我们调研了新颖性测度验证所采用的方法，并考察了当前相关工具与数据集。最后，我们提出了若干值得未来研究的开放性问题。