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The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience

Author

Listed:
  • Yashuang Qi

    (Nankai University)

  • Na Zhu

    (Nankai University)

  • Yujia Zhai

    (Tianjin Normal University)

  • Ying Ding

    (Indiana University)

Abstract

Patent and scientific literature are the fundamental sources of innovation in knowledge creation and transfer activities. Establishing and understanding the complex relationships between them can help scientists and stakeholders to predict and promote the innovation process. In this paper, we consider the domain of nanoscience, using a large scale collection of patents and scientific literature to find evolution patterns and distinctive keywords of each topic in a particular period. By extracting the semantic-level topics from a dataset of nearly 810,000 scientific literature from Web of Science and 160,000 patents from Derwent, the results reveal that the degree of topic popularity for both innovative platforms shows a totally different situation during the last 20 years from 1995 to 2015. In addition, the top keywords of patents and scientific literature, representing the topic content of concern, have changed respectively as time went on. Not only our analysis can be used for confirming existing topics in nanoscience, but it also gives new views on the relationship between scientific literature and patents.

Suggested Citation

  • Yashuang Qi & Na Zhu & Yujia Zhai & Ying Ding, 2018. "The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 893-911, May.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2693-y
    DOI: 10.1007/s11192-018-2693-y
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    Cited by:

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    2. K. A. Khor & L. G. Yu, 2020. "Revealing key topics shifts in thermal barrier coatings (TBC) as indicators of technological developments for aerospace engines," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1763-1781, November.
    3. Park, Inchae & Triulzi, Giorgio & Magee, Christopher L., 2022. "Tracing the emergence of new technology: A comparative analysis of five technological domains," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Xie, Qing & Zhang, Xinyuan & Ding, Ying & Song, Min, 2020. "Monolingual and multilingual topic analysis using LDA and BERT embeddings," Journal of Informetrics, Elsevier, vol. 14(3).
    5. Ba, Zhichao & Meng, Kai & Ma, Yaxue & Xia, Yikun, 2024. "Discovering technological opportunities by identifying dynamic structure-coupling patterns and lead-lag distance between science and technology," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    7. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    8. Yutao Sun & Chen Zhang & Robert A. W. Kok, 2020. "The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1003-1026, February.
    9. Cristiano Ziegler & Tiago Sinigaglia & Mario Eduardo Santos Martins & Adriano Mendonça Souza, 2021. "Technological Advances to Reduce Apis mellifera Mortality: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(15), pages 1-13, July.

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    More about this item

    Keywords

    Nanoscience; Lead–lag analysis; Patent; Scientific literature;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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