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Meta-analysis on big data of bioactive compounds from mangrove ecosystem to treat neurodegenerative disease

Author

Listed:
  • Benu George

    (National Institute of Technology Calicut)

  • Pradeep Varathan

    (National Institute of Technology Calicut)

  • T. V. Suchithra

    (National Institute of Technology Calicut)

Abstract

The mangrove ecosystem is one of the wealthiest organic and salt containing ecosystem. It has a large biomass consisting of bacteria, fungi, plants and other potential organisms. The recent boom in the discovery of bioactive compounds from the mangrove ecosystem is a potential minefield to inspect for potential drug molecules for various diseases. Meta-analysis offers potential to reveal intrinsic observations from large-scale data. The data that obtained from literature meta-analysis decode the high-throughput results that were mapped. Focusing on the usage of a more stringent method of meta-analysis to elucidate the bioactive compounds from the mangrove ecosystem a total of 365 research articles were analysed here and promised potent drug molecules to isolate from mangrove environment. Meta-analysis was carried using software BibExcel and R program. A total of eight research articles exclusively focused on bioactive compounds as a drug candidate to treat neurodegenerative disease. This article will construct a holistic approach to analyze and explore the vast field of bioactive compounds in the mangrove ecosystem. A systematic review by bibliometric analysis is a streamline method to find out lead molecules as a therapeutic drug molecule to multiple diseases, out of which this review attempts to cover the neurodegenerative diseases. Thus, BibExcel and R program can be implemented in any research field to examine the structure and development undertaken to date.

Suggested Citation

  • Benu George & Pradeep Varathan & T. V. Suchithra, 2020. "Meta-analysis on big data of bioactive compounds from mangrove ecosystem to treat neurodegenerative disease," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1539-1561, March.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:3:d:10.1007_s11192-020-03355-2
    DOI: 10.1007/s11192-020-03355-2
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    References listed on IDEAS

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    1. Arzu Tugce Guler & Cathelijn J. F. Waaijer & Magnus Palmblad, 2016. "Scientific workflows for bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 385-398, May.
    2. Michael O. Hengartner, 2000. "The biochemistry of apoptosis," Nature, Nature, vol. 407(6805), pages 770-776, October.
    3. Toren Finkel & Nikki J. Holbrook, 2000. "Oxidants, oxidative stress and the biology of ageing," Nature, Nature, vol. 408(6809), pages 239-247, November.
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    Cited by:

    1. Hu, Huakun & Xue, Wendong & Jiang, Peng & Li, Yong, 2022. "Bibliometric analysis for ocean renewable energy: An comprehensive review for hotspots, frontiers, and emerging trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).

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