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Time-tracking substances: harnessing the power of article counts over time with SciFindern

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  • Robert Tomaszewski

    (California State University, Fullerton)

Abstract

This study presents an innovative method for tracking the evolution and repurposing of drugs, leveraging controlled vocabulary systems, specifically CA (Chemical Abstracts) Concept Headings within the SciFindern database. Using thalidomide as a case study, the research demonstrates how tracking article counts over time can uncover information about the substance’s history, properties, uses, and future potential. The analysis involves comparing yearly publication counts of research articles and patents through databases, journal sources, and CA Concept Headings. The findings suggest that monitoring the number of articles by CA Concept Headings published over time can serve as a valuable indicator of the substance’s importance. Such knowledge empowers researchers to develop applications, enhance existing processes, and contribute to advancing science and medicine. The study’s insights have significant implications for the broader field of scientometrics, offering a methodological approach to understanding substance development and impact through bibliometric analysis.

Suggested Citation

  • Robert Tomaszewski, 2024. "Time-tracking substances: harnessing the power of article counts over time with SciFindern," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4819-4845, August.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:8:d:10.1007_s11192-024-05098-w
    DOI: 10.1007/s11192-024-05098-w
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    3. Mengmei Ni & Xiaomeng Li & Lishi Zhang & Vikas Kumar & Jinyao Chen, 2022. "Bibliometric Analysis of the Toxicity of Bisphenol A," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
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