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Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media

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  • Núria Bautista-Puig

    (Research Institute for Higher Education and Science (INAECU), University Carlos III of Madrid, 28903 Madrid, Spain
    LEMI (Laboratory on Metric Information Studies), Department of Library and Information Sciences, University Carlos III of Madrid, 28903 Madrid, Spain)

  • Daniela De Filippo

    (Research Institute for Higher Education and Science (INAECU), University Carlos III of Madrid, 28903 Madrid, Spain)

  • Elba Mauleón

    (Research Institute for Higher Education and Science (INAECU), University Carlos III of Madrid, 28903 Madrid, Spain)

  • Elías Sanz-Casado

    (Research Institute for Higher Education and Science (INAECU), University Carlos III of Madrid, 28903 Madrid, Spain
    LEMI (Laboratory on Metric Information Studies), Department of Library and Information Sciences, University Carlos III of Madrid, 28903 Madrid, Spain)

Abstract

Citizen science (CS) aims primarily to create a new scientific culture able to improve upon the triple interaction between science, society, and policy in the dual pursuit of more democratic research and decision-making informed by sound evidence. It is both an aim and an enabler of open science (OS), to which it contributes by involving citizens in research and encouraging participation in the generation of new knowledge. This study analyses scientific output on CS using bibliometric techniques and Web of Science (WoS) data. Co-occurrence maps are formulated to define subject clusters as background for an analysis of the impact of each on social media. Four clusters are identified: HEALTH, BIO, GEO and PUBLIC. The profiles for the four clusters are observed to be fairly similar, although BIO and HEALTH are mentioned more frequently in blogposts and tweets and BIO and PUBLIC in Facebook and newsfeeds. The findings also show that output in the area has grown since 2010, with a larger proportion of papers (66%) mentioned in social media than reported in other studies. The percentage of open access documents (30.7%) is likewise higher than the overall mean for all areas.

Suggested Citation

  • Núria Bautista-Puig & Daniela De Filippo & Elba Mauleón & Elías Sanz-Casado, 2019. "Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media," Publications, MDPI, vol. 7(1), pages 1-22, February.
    • Handle: RePEc:gam:jpubli:v:7:y:2019:i:1:p:12-:d:202975
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    References listed on IDEAS

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    2. M. Pelacho & G. Ruiz & F. Sanz & A. Tarancón & J. Clemente-Gallardo, 2021. "Analysis of the evolution and collaboration networks of citizen science scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 225-257, January.
    3. Julia Lanoue, 2020. "Disparate Environmental Monitoring as a Barrier to the Availability and Accessibility of Open Access Data on the Tidal Thames," Publications, MDPI, vol. 8(1), pages 1-19, March.
    4. Gheorghe-Gavrilă Hognogi & Monika Meltzer & Filip Alexandrescu & Lucrina Ștefănescu, 2023. "The role of citizen science mobile apps in facilitating a contemporary digital agora," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    5. M V Eitzel & Jon Solera & K B Wilson & Kleber Neves & Aaron C Fisher & André Veski & Oluwasola E Omoju & Abraham Mawere Ndlovu & Emmanuel Mhike Hove, 2020. "Using mixed methods to construct and analyze a participatory agent-based model of a complex Zimbabwean agro-pastoral system," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-24, August.
    6. Jianhua Hou & Xiucai Yang & Yang Zhang, 2023. "The effect of social media knowledge cascade: an analysis of scientific papers diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5169-5195, September.

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