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Storytelling can be a powerful tool for science

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Listed:
  • Joshua Ettinger
  • Friederike E. L. Otto
  • E. Lisa F. Schipper

Abstract

Letter to the Editor

Suggested Citation

  • Joshua Ettinger & Friederike E. L. Otto & E. Lisa F. Schipper, 2021. "Storytelling can be a powerful tool for science," Nature, Nature, vol. 589(7842), pages 352-352, January.
    • Handle: RePEc:nat:nature:v:589:y:2021:i:7842:d:10.1038_d41586-021-00108-w
    DOI: 10.1038/d41586-021-00108-w
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    Cited by:

    1. Gerald Schweiger & Adrian Barnett & Peter van den Besselaar & Lutz Bornmann & Andreas De Block & John P. A. Ioannidis & Ulf Sandstrom & Stijn Conix, 2024. "The Costs of Competition in Distributing Scarce Research Funds," Papers 2403.16934, arXiv.org.
    2. Thomas, Duncan Andrew & Ramos-Vielba, Irene, 2022. "Reframing study of research(er) funding towards configurations and trails," SocArXiv uty2v, Center for Open Science.
    3. Pierre Pelletier & Kevin Wirtz, 2023. "Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation," Papers 2312.10476, arXiv.org.
    4. Malte Hückstädt, 2023. "Ten reasons why research collaborations succeed—a random forest approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1923-1950, March.
    5. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Jiang, Zhuoren & Lin, Tianqianjin & Huang, Cui, 2023. "Deep representation learning of scientific paper reveals its potential scholarly impact," Journal of Informetrics, Elsevier, vol. 17(1).
    7. Peng, Xianzhe & Xu, Huixin & Shi, Jin, 2024. "Are the bibliometric growth patterns of excellent scholars similar? From the analysis of ACM Fellows," Journal of Informetrics, Elsevier, vol. 18(3).
    8. Michael Färber & Melissa Coutinho & Shuzhou Yuan, 2023. "Biases in scholarly recommender systems: impact, prevalence, and mitigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2703-2736, May.
    9. Zhuanlan Sun & C. Clark Cao & Sheng Liu & Yiwei Li & Chao Ma, 2024. "Behavioral consequences of second-person pronouns in written communications between authors and reviewers of scientific papers," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    10. Lutz Bornmann & Robin Haunschild & Rüdiger Mutz, 2021. "Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    11. Weihua Li & Sam Zhang & Zhiming Zheng & Skyler J. Cranmer & Aaron Clauset, 2022. "Untangling the network effects of productivity and prominence among scientists," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    12. Yang, Alex Jie & Wu, Linwei & Zhang, Qi & Wang, Hao & Deng, Sanhong, 2023. "The k-step h-index in citation networks at the paper, author, and institution levels," Journal of Informetrics, Elsevier, vol. 17(4).
    13. Cleo Maria Gaganis & Andreas Y. Troumbis & Themistoklis Kontos, 2024. "Leveraging Reed Bed Burnings as Indicators of Wetland Conversion in Modern Greece," Land, MDPI, vol. 13(4), pages 1-24, April.
    14. Eitan Frachtenberg, 2022. "Multifactor Citation Analysis over Five Years: A Case Study of SIGMETRICS Papers," Publications, MDPI, vol. 10(4), pages 1-16, December.
    15. Zhang, Yang & Wang, Yang & Du, Haifeng & Havlin, Shlomo, 2024. "Delayed citation impact of interdisciplinary research," Journal of Informetrics, Elsevier, vol. 18(1).
    16. Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.

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