Abstract
Seahorses, widely recognized as a unique genus within aquatic species, are exploited globally across traditional medicine, aquarium, and curio industries. Notwithstanding their popularity, there exists a dearth of current bibliometric investigations capable of discerning key shifts and patterns within seahorse research. In addressing this gap, our study deployed scientometric techniques on the Web of Science database, enabling an encompassing and contemporary bibliometric analysis spanning from 1976 to 2022. Utilizing CiteSpace software, we generated visual data of dual map overlay, citation networks of authors, countries, and documents, and discerned key terms and research clusters prevalent in seahorse-related research. This process yielded 1840 original articles on seahorse research, forming a 13-cluster network, with the three most expansive research clusters being “endangered seahorse”, “habitat association”, and “male pregnancy”. Our investigation highlighted that the terms “gene expression”, “abdominal”, and “embryonic development” were predominantly employed across seahorse-centric scholarly works. The research ecosystem encompassing seahorses constitutes a diverse array of academic domains, showcasing substantial interdisciplinary linkages among areas such as “Marine and Freshwater Biology”, “Environmental Sciences”, “Biochemistry and Molecular Biology”, “Biodiversity Conservation”, “Ecology”, “Fisheries”, “Zoology”, and “Oceanography”. The implications of our findings not only establish a robust foundation for subsequent research but also illustrate the evolved state and potential impact of seahorse research within the sphere of marine biology.
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Acknowledgements
The authors would like to thank the Institute of Marine Biotechnology, Universiti Malaysia Terengganu.
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This work was supported by the Seahorse Translational research grant under Vot 53343 offered by the Ministry of Higher Education of Malaysia.
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The following statements should be used “Conceptualization, TCS and MEAW; methodology, MNA; software, TCS, MIMN; validation, HAA, FL and AIP; formal analysis, FL; investigation, HAA; resources, GS; data curation, FL, MIMN.; writing—original draft preparation, TCS; writing—review and editing, MNA, AIP; visualization, GS; supervision, MEAW; project administration, HAA, HS; funding acquisition, AIP, MIMN, MEAW, FL. All authors have read and agreed to the published version of the manuscript.”
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Segaran, T.C., Aouissi, H.A., Noor, M.I.M. et al. Assessing the state of seahorse research through scientometric analysis: an update. Rev Fish Biol Fisheries 33, 1237–1262 (2023). https://doi.org/10.1007/s11160-023-09794-3
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DOI: https://doi.org/10.1007/s11160-023-09794-3