Mapping online attention to DeepSeek

an altmetric study (January 2024-January 2025)

Authors

DOI:

https://doi.org/10.5195/biblios.2026.1372

Keywords:

Deepseek, Altmetrics, Social web

Abstract

Objective: To map the online attention received by DeepSeek by analyzing mentions on channels covered by the Altmetric.com platform. Method: Exploratory research with altmetric analysis, using the advanced search option of Altmetric Explorer from Altmetric.com. Data collection was carried out on February 11, 2025, using the keyword “deepseek.” Results: A total of 5,237 mentions were tracked by the platform, averaging 116.3 mentions for each search output. The first mention was recorded in January 2024, in X. The most traditional journals are the main vehicles for publishing the research developed: arXiv, with the highest number of mentions (2,987), followed by Nature (1,498). The three most mentioned articles had at least 1,000 mentions, with the most mentioned article published in December 2024 and the other two in January 2025. Conclusions: The DeepSeek topic has gained significant attention online, reflecting a period of heightened online attention, particularly concentrated in January 2025, without indicating a consistent upward trend over time.

Author Biographies

Lucas George Wendt, Universidade Federal do Rio Grande do Sul

Master in Information Science (PPGCIN/UFRGS). Master in Museology and Heritage (PPGMUSPA/UFRGS).

Mauricio Coelho da Silva, Universidade Federal de Santa Catarina

Master in Information Science from the Postgraduate Program in Information Science (PPGCIN) of the Federal University of Rio Grande do Sul (UFRGS, 2023). Currently a PhD student in Information Science from the Postgraduate Program in Information Science at the Federal University of Santa Catarina (UFSC).

Francielle Franco, Universidade Estadual Paulista (Unesp)

PhD student in the Information Science Program at the São Paulo State University (UNESP), Marília, São Paulo, Brazil. Master in Information Science from the Information Science Program at the Federal University of Rio Grande do Sul. Bachelor in Social Communication from the Pontifical Catholic University of Rio Grande do Sul.

Ana Paula Sehn, Universidade Federal do Rio Grande do Sul

Master's student in Information Science at the Postgraduate Program in Information Science at the Federal University of Rio Grande do Sul (PPGCIN/UFRGS).

References

Altmetric. (2020). What products does Altmetric offer? https://help.altmetric.com/support/solutions/articles/6000233310-what-products-does-altmetric-offer-

Araújo, R. F. (2020). Communities of attention networks: Introducing qualitative and conversational perspectives for altmetrics. Scientometrics, 124(3), 1793–1809. https://link.springer.com/article/10.1007/s11192-020-03566-7

Araújo, R. F., & Furnival, A. C. M. (2016). Science communication and online attention: In search of virtual colleges that support alternative metrics. Information & Information, 21(2), 68–89. https://repositorio.ufscar.br/server/api/core/bitstreams/9649a555-7915-423b-a723-8a52b31701df/content

Barros, M. (2015). Altmetrics: Alternative metrics of scientific impact based on social networks. Perspectives in Information Science, 20(2), 19–37. https://doi.org/10.1590/1981-5344/1782

Bogdanovich, B., Shah, P., Bui, T., & Boyd, C. J. (2024). Altmetric analysis of artificial intelligence articles in plastic surgery. Archives of Plastic Surgery, 51(2), 262–264. https://doi.org/10.1055/a-2223-5458

Brent, L., Vetter, M. A., & Adubofour, I. K. (2023). Behold the metaverse: Facebook's Meta imaginary and the circulation of elite discourse. New Media & Society, 27(2). https://doi.org/10.1177/14614448231184249

Bui, T., Patel, P. A., & Boyd, C. J. (2022). Altmetric analysis of the online attention directed to artificial intelligence literature in ophthalmology. The Asia-Pacific Journal of Ophthalmology, 12(6), 625–626. https://journals.lww.com/apjoo/fulltext/2023/11000/altmetric_analysis_of_the_online_attention.13.aspx

Costas, R., Zahedi, Z., & Wouters, P. (2014). Do altmetrics correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. Journal of the Association for Information Science and Technology, 66(10), 2003–2019. https://doi.org/10.1002/asi.23309

DeepSeek-AI, Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., Ruan, C., Dai, D., Guo, D., Yang, D., Chen, D., Ji, D., Li, E., Lin, F., Dai, F., Luo, F., ... Pan, Z. (2024). DeepSeek-V3 technical report. https://doi.org/10.48550/arXiv.2412.19437

DeepSeek-AI, Guo, D., Yang, D., Zhang, H., Song, J., Zhang, R., Xu, R., Zhu, Q., Ma, S., Wang, P., Bi, X., Zhang, X., Yu, X., Wu, Y., Wu, Z. F., Gou, Z., Shao, Z., Li, Z., Gao, Z. Liu, A. (2025). DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning. arXiv. https://doi.org/10.48550/arXiv.2501.12948

Elmore, S. A. (2018). The altmetric attention score: What does it mean and why should I care? Toxicologic Pathology, 46(3), 252–255. https://journals.sagepub.com/doi/full/10.1177/0192623318758294

Fleerackers, A., Riedlinger, M., Moorhead, L., Ahmed, R., & Alperin, J. P. (2022). Communicating scientific uncertainty in an age of COVID-19: An investigation into the use of preprints by digital media outlets. Health Communication, 37(6), 726–738. https://doi.org/10.1080/10410236.2020.1864892

Gibney, E. (2025). China's cheap, open AI model DeepSeek thrills scientists. Nature, 638(8049), 13–14. https://doi.org/10.1038/d41586-025-00229-6

Gontijo, M. C. A., & Araújo, R. F. (2025). The public debate on social distancing in the context of COVID-19: Analysis of a community of attention on X (Twitter). RDBCI: Digital Journal of Library and Information Science, 23, Article e025002. https://doi.org/10.20396/rdbci.v23i00.8675743

Haustein, S., Peters, I., Sugimoto, C. R., Thelwall, M., & Larivière, V. (2014). Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature. Journal of the Association for Information Science and Technology, 65(4), 656–669. https://doi.org/10.1002/asi.23101

Ng, K., Drenon, B., Gerken, T., & Cieslak, M. (2025). DeepSeek: The Chinese AI app that has the world talking. BBC News. https://www.bbc.com/news/articles/c5yv5976z9po

Ortega, J. L. (2018). Reliability and accuracy of altmetric providers: A comparison among Altmetric.com, PlumX and Crossref Event Data. Scientometrics, 116(3), 2123–2138. https://doi.org/10.1007/s11192-018-2838-z

Raman, R., Lathabhai, H., Diwakar, S., & Nedungadi, P. (2023). Early research trends on ChatGPT: Insights from altmetrics and science mapping analysis. International Journal of Emerging Technologies in Learning (IJET), 18(19), 13–31. https://www.learntechlib.org/p/223755/

Rocha, E. S., & Araújo, R. F. (2021). Online attention of Covid-19 pre-prints on Twitter: Analysis of dissemination and thematic orientation. Iberoamerican Journal of Science Measurement and Communication, 1(3), 1–14. https://dialnet.unirioja.es/servlet/articulo?codigo=8285678

Shaikh, A. R., Hamed, A., & Sun, M. (2023). YouTube and science: Models for research impact. Scientometrics, 128(2), 933–955. https://link.springer.com/article/10.1007/s11192-022-04574-5

Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2017). Scholarly use of social media and altmetrics: A review of the literature. Journal of the Association for Information Science and Technology, 68(9), 2037–2062. https://doi.org/10.1002/asi.23833

Tennant, J. P., Waldner, F., Jacques, D. C., Masuzzo, P., Collister, L. B., & Hartgerink, C. H. J. (2016). The academic, economic and societal impacts of open access: An evidence-based review. F1000Res, 5, 632. https://pubmed.ncbi.nlm.nih.gov/27158456/

Thelwall, M., Haustein, S., Larivière, V., & Sugimoto, C. R. (2013). Do altmetrics work? Twitter and ten other social web services. PLoS One, 8(5), e64841. https://doi.org/10.1371/journal.pone.0064841

Torres-Salinas, D., Docampo, D., Arroyo-Machado, W., & Robinson-Garcia, N. (2024). The many publics of science: Using altmetrics to identify common communication channels by scientific field. Scientometrics, 129, 3705–3723. https://doi.org/10.1007/s11192-024-05077-1

Wendt, L. G., Silva, M. C. da, Santos, F. F. dos, & Sehn, A. P. (2025). Online attention to DeepSeek: An altmetric study [Data set]. SocArXiv. https://doi.org/10.31235/osf.io/ayb5p_v1

Wu, D., & Zhang, Q. (2021). An altmetric study of artificial intelligence in medicine. In 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 196–198). IEEE. https://doi.org/10.1109/CSCI54926.2021.00105

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Published

2026-07-01

How to Cite

Wendt, L. G., Silva, M. C. da, Franco, F., & Sehn, A. P. (2026). Mapping online attention to DeepSeek: an altmetric study (January 2024-January 2025). Biblios Journal of Librarianship and Information Science, (89), e003. https://doi.org/10.5195/biblios.2026.1372

Issue

No. 89 (2026): (Re)Configurations of Scientific Journals: Between Tradition and Transformation

Section

Original

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Copyright (c) 2026 Lucas George Wendt, Mauricio Coelho da Silva, Francielle Franco, Ana Paula Sehn

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