发表机构
Science Policy and Strategy Department Administrative Headquarters of the Max Planck Society（马克斯·普朗克学会科学政策与战略部行政总部）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
SoniMet是一款基于网络的工具，可连接OpenAlex数据库获取单个科学家的发表与引用数据，通过可视化与声音化辅助文献计量分析，为研究评估提供新方法，目前仅支持单个学者档案且存在音频整合的挑战。
AI 中文摘要
几个世纪以来，科学界主要依靠视觉工具来传达实证结果和复杂数据集。尽管视觉表现形式在文献计量分析中占据主导地位，但人类听觉系统在处理复杂时间信息、区分复杂模式以及追踪并行数据流方面具有敏感的能力。数据声音化将数据关系转化为声学信号，为数据探索、模式识别和科学交流提供了一种替代方法。本文将这一概念应用于文献计量学领域，通过指标声音化（即文献计量信息的听觉转化），介绍了SoniMet（Sonifying Metrics），这是一款基于网络的工具，旨在对单个科学家的发表与引用数据进行可视化和声音化处理。SoniMet连接到OpenAlex数据库以检索文献计量记录，并将其显示在交互式时间顺序时间轴上。该工具采用直接参数映射，将引用影响指标转化为非语音声音：领域加权引用影响和引用次数决定合成音符的音高和音量，并映射到声学回声强度。尽管SoniMet扩展了研究评估的方法工具包，但当前的局限性包括其仅适用于单个学者档案，以及将瞬态音频文件整合到传统、基于文本的科学出版工作流程中的挑战。未来需要开展实证用户研究，以系统评估指标声音化与已建立的视觉方法相比的分析效用和认知益处。
英文摘要
For centuries, the scientific community has predominantly relied on visual tools to communicate empirical results and complex datasets. While visual representations dominate bibliometric analyses, the human auditory system possesses sensitive capacities for processing complex temporal information, distinguishing intricate patterns, and tracking parallel data streams. Data sonification translates data relations into acoustic signals, offering an alternative method for data exploration, pattern recognition, and scientific communication. This paper applies this concept to the field of bibliometrics through metrics sonification-the auditory translation of bibliometric information-and introduces SoniMet (Sonifying Metrics), a web-based tool designed to visualize and sonify the publication and citation data of individual scientists (see https://sonimet.kennebec.co.uk). SoniMet connects to the OpenAlex database to retrieve bibliometric records and displays them on an interactive chronological timeline. The tool employs direct parameter mapping to translate citation impact indicators into non-speech sound: field-weighted citation impact and citation counts determine the pitch and volume of a synthesized note and are mapped to the acoustic echo strength. Although SoniMet expands the methodological toolkit for research evaluation, current limitations include its restriction to individual scholar profiles and the challenge of integrating transient audio files into traditional, text-based scientific publishing workflows. Future empirical user studies are necessary to systematically evaluate the analytical utility and cognitive benefits of metrics sonification compared to established visual methods.
