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Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches

Citations

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Cited by:

  1. Alicia Lara-Clares & Juan J Lastra-Díaz & Ana Garcia-Serrano, 2021. "Protocol for a reproducible experimental survey on biomedical sentence similarity," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-28, March.
  2. Xuejian Huang & Zhibin Wu & Gensheng Wang & Zhipeng Li & Yuansheng Luo & Xiaofang Wu, 2024. "ResGAT: an improved graph neural network based on multi-head attention mechanism and residual network for paper classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(2), pages 1015-1036, February.
  3. Francesco Giovanni Avallone & Alberto Quagli & Paola Ramassa, 2022. "Interdisciplinary research by accounting scholars: An exploratory study," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(2), pages 5-34.
  4. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
  5. Urdiales, Cristina & Guzmán, Eduardo, 2024. "An automatic and association-based procedure for hierarchical publication subject categorization," Journal of Informetrics, Elsevier, vol. 18(1).
  6. Michael Rennings & Philipp Baaden & Carolin Block & Marcus John & Stefanie Bröring, 2024. "Assessing emerging sustainability-oriented technologies: the case of precision agriculture," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 2969-2998, June.
  7. Renchu Guan & Chen Yang & Maurizio Marchese & Yanchun Liang & Xiaohu Shi, 2014. "Full Text Clustering and Relationship Network Analysis of Biomedical Publications," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-9, September.
  8. Yun, Jinhyuk, 2022. "Generalization of bibliographic coupling and co-citation using the node split network," Journal of Informetrics, Elsevier, vol. 16(2).
  9. Rey-Long Liu, 2015. "Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
  10. Peter Sjögårde & Fereshteh Didegah, 2022. "The association between topic growth and citation impact of research publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1903-1921, April.
  11. Chen, Liang & Xu, Shuo & Zhu, Lijun & Zhang, Jing & Xu, Haiyun & Yang, Guancan, 2022. "A semantic main path analysis method to identify multiple developmental trajectories," Journal of Informetrics, Elsevier, vol. 16(2).
  12. Paul Donner, 2021. "Validation of the Astro dataset clustering solutions with external data," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1619-1645, February.
  13. Qianqian Xie & Ludo Waltman, 2025. "A comparison of citation-based clustering and topic modeling for science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 2497-2522, May.
  14. Ai Linh Nguyen & Wenyuan Liu & Khiam Aik Khor & Andrea Nanetti & Siew Ann Cheong, 2022. "Strategic differences between regional investments into graphene technology and how corporations and universities manage patent portfolios," Papers 2208.03719, arXiv.org.
  15. Fei Shu & Yue Ma & Junping Qiu & Vincent Larivière, 2020. "Classifications of science and their effects on bibliometric evaluations," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2727-2744, December.
  16. Hanwen Xu & Addie Woicik & Hoifung Poon & Russ B. Altman & Sheng Wang, 2023. "Multilingual translation for zero-shot biomedical classification using BioTranslator," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  17. Lovro Šubelj & Nees Jan van Eck & Ludo Waltman, 2016. "Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different Methods," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-23, April.
  18. Ballester, Omar & Penner, Orion, 2022. "Robustness, replicability and scalability in topic modelling," Journal of Informetrics, Elsevier, vol. 16(1).
  19. Xu, Shuo & Hao, Liyuan & An, Xin & Yang, Guancan & Wang, Feifei, 2019. "Emerging research topics detection with multiple machine learning models," Journal of Informetrics, Elsevier, vol. 13(4).
  20. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
  21. Alicia Lara-Clares & Juan J Lastra-Díaz & Ana Garcia-Serrano, 2022. "A reproducible experimental survey on biomedical sentence similarity: A string-based method sets the state of the art," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-44, November.
  22. Mike Thelwall & Stephen Pinfield, 2024. "The accuracy of field classifications for journals in Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(2), pages 1097-1117, February.
  23. Milad Dehghani & Ki Joon Kim, 2019. "Past and Present Research on Wearable Technologies: Bibliometric and Cluster Analyses of Published Research from 2000 to 2016," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-21, February.
  24. Sitaram Devarakonda & Dmitriy Korobskiy & Tandy Warnow & George Chacko, 2020. "Viewing computer science through citation analysis: Salton and Bergmark Redux," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 271-287, October.
  25. Manuel A. Vázquez & Jorge Pereira-Delgado & Jesús Cid-Sueiro & Jerónimo Arenas-García, 2022. "Validation of scientific topic models using graph analysis and corpus metadata," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5441-5458, September.
  26. repec:plo:pone00:0104244 is not listed on IDEAS
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