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Tracing scientist’s research trends realtimely

Author

Listed:
  • Xianwen Wang

    (Dalian University of Technology
    Dalian University of Technology)

  • Zhi Wang

    (Dalian University of Technology
    Dalian University of Technology)

  • Shenmeng Xu

    (Dalian University of Technology
    Dalian University of Technology)

Abstract

In this research, we propose a method to trace scientist’s research trends realtimely. By monitoring the downloads of scientific articles in the journal of Scientometrics for 744 h, namely one month, we investigate the download statistics. Then we aggregate the keywords in these downloaded research papers, and analyze the trends of article downloading and keyword downloading. Furthermore, taking both the downloads of keywords and articles into consideration, we design a method to detect the emerging research trends. We find that in scientometrics field, social media, new indices to quantify scientific productivity (g-index), webometrics, semantic, text mining, and open access are emerging fields that scientometrics researchers are focusing on.

Suggested Citation

  • Xianwen Wang & Zhi Wang & Shenmeng Xu, 2013. "Tracing scientist’s research trends realtimely," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 717-729, May.
  • Handle: RePEc:spr:scient:v:95:y:2013:i:2:d:10.1007_s11192-012-0884-5
    DOI: 10.1007/s11192-012-0884-5
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    References listed on IDEAS

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    Cited by:

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    2. Bikun Chen, 2018. "Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 519-537, April.
    3. Bikun Chen & Dannan Deng & Zhouyan Zhong & Chengzhi Zhang, 2020. "Exploring linguistic characteristics of highly browsed and downloaded academic articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1769-1790, March.
    4. Yufeng Duan & Zequan Xiong, 2017. "Download patterns of journal papers and their influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1761-1775, September.
    5. Sergio Copiello, 2020. "Other than detecting impact in advance, alternative metrics could act as early warning signs of retractions: tentative findings of a study into the papers retracted by PLoS ONE," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2449-2469, December.
    6. Wencan Tian & Yongzhen Wang & Zhigang Hu & Ruonan Cai & Guangyao Zhang & Xianwen Wang, 2024. "Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3285-3302, June.
    7. Sergio Copiello & Pietro Bonifaci, 2019. "ResearchGate Score, full-text research items, and full-text reads: a follow-up study," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1255-1262, May.
    8. Sergio Copiello & Pietro Bonifaci, 2018. "A few remarks on ResearchGate score and academic reputation," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 301-306, January.
    9. Qing Cheng & Xin Lu & Zhong Liu & Jincai Huang, 2015. "Mining research trends with anomaly detection models: the case of social computing research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 453-469, May.
    10. Luis Javier Cabeza Ramírez & Sandra M. Sánchez-Cañizares & Fernando J. Fuentes-García, 2019. "Past Themes and Tracking Research Trends in Entrepreneurship: A Co-Word, Cites and Usage Count Analysis," Sustainability, MDPI, vol. 11(11), pages 1-32, June.
    11. Xianwen Wang & Chen Liu & Wenli Mao & Zhichao Fang, 2015. "The open access advantage considering citation, article usage and social media attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 555-564, May.
    12. Xuefeng Wang & Shuo Zhang & Yuqin liu, 2022. "ITGInsight–discovering and visualizing research fronts in the scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6509-6531, November.
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