Source-linked AI summary
SoniMet - A tool for sonifying and visualizing the performance of single researchers
Tim Waterfield, Lutz Bornmann
TL;DR
Visual bibliometrics dominate despite auditory capacities for processing temporal information and parallel data streams. The paper introduces SoniMet, which combines interactive visual bibliometrics with auditory presentation for individual scholar profiles. Qualitative feedback indicated enhanced emotional engagement, curiosity, and novel insights, while the tool remains limited to individual profiles.
Problem
Bibliometric analyses predominantly use visual representations despite auditory capacities for processing complex temporal information and tracking parallel data streams.
Method
SoniMet combines interactive visual and auditory presentation of individual scholars’ publication and citation data with career analytics.
Results
Qualitative feedback indicated that sonification enhanced emotional engagement, spurred curiosity, and facilitated novel insights into the data.
Takeaways & Limitations
SoniMet offers a complementary auditory dimension for exploring bibliometric information alongside traditional visual bibliometrics.
Takeaways & Limitations
SoniMet is restricted to analyzing individual scholar profiles, limiting its utility for broader evaluative contexts involving comparative datasets.
Abstract
from arXiv · showhide
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.
1 Introduction
The introduction presents sonification as an alternative to visual communication for complex, temporal, and multidimensional scientific data, while acknowledging interpretive and standardization challenges. It motivates metrics sonification and introduces SoniMet as a tool for exploring individual scientists’ publication and citation data through visual and auditory representations.
- Data sonification: Data sonification translates data relations into non-speech sound for communication, interpretation, and scientific or practical purposes.Parameter mapping systematically maps data dimensions to auditory properties such as pitch, volume, duration, and timbre.
- Motivation: Auditory displays can reveal temporal patterns, subtle changes, weak signals, and parallel data streams while supporting monitoring when visual attention is occupied.Hearing is continuous and omnidirectional, making sonification suitable for settings such as medical operating theaters or aviation.
- Motivation: Sonification can improve accessibility by enabling visually impaired researchers and students to analyze complex datasets and participate in scientific analysis.It can also support emotional engagement, aesthetic involvement, public communication, and science outreach.
- Challenges: Sonification requires specialized listening skills, may let aesthetic intentions overshadow objective data communication, and lacks universally accepted methods.Mapping data to Western musical scales can also impose cultural biases on interpretation.
- Metrics sonification: Metrics sonification applies data sonification to bibliometric information such as publication output and citation impact for analytical and communicative purposes.Bibliometric datasets are suited to sonification because they contain complex multidimensional relations and temporal interdependencies.
- SoniMet: SoniMet is a web-based tool that visualizes and sonifies individual scientists’ publication and citation data through an interactive publication timeline and career analytics.The introduction positions synthesized notes and the combined visual-auditory interface as an expanded toolkit for research evaluation and communication.
2 How does SoniMet work?
SoniMet retrieves individual scholars’ bibliographic records through OpenAlex and presents publication and citation information through an interactive timeline, sonification, filtering, analytics, and export functions. Its direct parameter mapping converts citation indicators and collaboration information into customizable acoustic features while supporting visual exploration and data checking.
- Data retrieval and presentation: SoniMet is a web-based tool that retrieves scholars’ publication metadata from OpenAlex and presents publication and citation data interactively.Users can search by name, select among candidate author profiles, and retrieve records including the h index, total citations, and number of works.
- Data retrieval and presentation: The Scholar Timeline represents individual publications chronologically, distinguishes Open Access from Closed Access works, and links each publication to synthesized audio and metadata.Selecting a publication opens a details panel with information such as year, title, authorship, venue, and DOI.
- Sonification: SoniMet sonifies collaboration size through synchronized percussion and lets users customize waveforms, scales, pitch limits, mapped metadata fields, tempo, and indicator order.Additional controls synchronize visual node expansion, percussion, bass lines, and annual transition markers with playback.
- Analysis and export: Filtering and career analytics support exploration by restricting publications by year, citations, or FWCI and summarizing works, OA ratio, average FWCI, and average citations per work.The tool also provides export options for audio, timeline graphics, and OpenAlex data in CSV format.
- Analysis and export: SoniMet supports documentation and validation by exporting sonifications, visual timelines, and underlying data, but OpenAlex author-to-publication assignments may be incomplete or incorrect.Users can inspect exported records to check whether an author’s publications are complete.
3 Discussion
SoniMet extends bibliometric analysis with an interactive auditory and visual tool for individual researchers, translating publication and citation information into sound. Its broader analytical value remains conditional on comparative functionality, publishing integration, listener training, and empirical evaluation.
- Contribution: Metrics sonification translates publication outputs, citation impacts, and structural dynamics into sound as an alternative mode of bibliometric analysis.In SoniMet, field-weighted citation impact and citation count determine the pitch and volume of synthesized tones and the strength of an acoustic echo.
- Contribution: SoniMet complements traditional visual bibliometrics by presenting individual scientists’ publication and citation data through interactive visual and auditory displays.The tool connects to OpenAlex, retrieves bibliometric records, and presents them on an interactive Scholar Timeline.
- Method and use: Interactive filtering and aggregated career analytics allow users to explore a researcher’s output both visually and acoustically.SoniMet also incorporates bass, percussion, and rhythmic structures to create a more cohesive auditory experience, although these elements should remain data-driven.
- Limitations: The current tool is restricted to individual scholar profiles, preventing comparisons among researchers, departments, or broader research groups.The paper identifies comparative analysis as a common bibliometric requirement and states that this restriction limits broader evaluative utility.
- Limitations: Exported audio is difficult to integrate into traditional scientific publishing, where static visual text documents remain dominant.SoniMet can export visual graphs and audio files, but sonification cannot be embedded in traditional printed papers and its use in scientific communication remains unclear.
- Future evaluation: Future empirical studies must determine whether sonification improves bibliometric understanding or mainly functions as an engaging novelty.The proposed evaluation should assess user comprehension, cognitive load, and the effects of acclimation to auditory displays.
Declaration of generative AI in scientific writing
The authors used Gemini Pro 3.1 to improve language and readability, then reviewed and edited the manuscript and retained responsibility for its content.
- Gemini Pro 3.1 was used to improve the publication’s language and readability.
- The authors reviewed and edited the content after using the tool.
- The authors state that they take full responsibility for the publication’s content.
Declarations
The authors report no organizational support for the submitted work and no relevant financial or non-financial interests to disclose.
- The authors did not receive support from any organization for the submitted work.
- The authors report no relevant financial or non-financial interests to disclose.