• Title
  • Visualizing a Field of Research With Scientometrics: Climate Change Associated With Major Aquatic Species Production in the World
• Authors
  • Mohamad N. Azra
  • Mohn Iqbal Mohd Noor
  • Yeong Yik Sung
  • Mazlan Abd Ghaffar
• Date July 13, 2022
• Source
  • https://www.frontiersin.org/articles/10.3389/fenvs.2022.905428/full
• Abstract
  • Climate change research on major aquatic species assists various stakeholders (e.g. policymakers, farmers, funders) in better managing its aquaculture activities and productivity for future food sustainability.
  • However, there has been little research on the impact of climate change on aquatic production, particularly in terms of scientometric analyses.
  • Thus, using the
    • bibliometric and
    • scientometric analysis methods,
  • this study was carried out to determine what research exists on the impact of climate change on aquatic production groups.
  • We focused on
    • finfish,
    • crustaceans, and
    • molluscs.
  • Data retrieved from Web of Science was
    • mapped with CiteSpace and
    • used to assess
      • the trends and
      • current status of research topics
    • on climate change associated with worldwide aquatic production.
  • We identified ocean acidification as an important research topic for managing the future production of aquatic species.
  • We also provided a comprehensive perspective and delineated the need for:
    • i) more international collaboration for research activity focusing on climate change and aquatic production in order to achieve the United Nations Sustainable Development Goal by 2030;
    • ii) the incorporation of work from molecular biology, economics, and sustainability.

• Title
  • The landscape of biomedical research
• Authors
  • Rita González-Márquez,
  • Luca Schmidt,
  • Benjamin M. Schmidt,
  • Philipp Berens
  • Dmitry Kobak
• Date
  • April 11, 2023
• Source
  • https://www.biorxiv.org/content/10.1101/2023.04.10.536208v1.full
• Abstract
  • The number of publications in biomedicine and life sciences
  • has rapidly grown over the last decades,
  • with over 1.5 million papers now published every year.
  • This makes it difficult to
    • keep track of new scientific works and
    • to have an overview of the evolution of the field as a whole.
  • Here we
    • present a 2D atlas of the entire corpus of biomedical literature, and
    • argue that it provides
      • a unique and
      • useful overview
    • of the life sciences research.
  • We base our atlas on the abstract texts of
  • 21 million English articles from the PubMed database.
  • To embed the abstracts into 2D, we use
    • a large language model PubMedBERT, combined with
    • t-SNE tailored to handle samples of our size.
  • We use our atlas to study
    • the emergence of the Covid-19 literature,
    • the evolution of the neuroscience discipline,
    • the uptake of machine learning, and
    • the distribution of gender imbalance in academic authorship.
  • Furthermore, we present an interactive web version of our atlas that
    • allows easy exploration and
    • will enable further insights and facilitate future research.

// - This is a good basic framing - for future basic research - on progress traps - Future paper would explore details in a much more granular way //