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Cross-Regional Analysis of the Aging Phenomenon of Biomedical Scholars

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Information for a Better World: Shaping the Global Future (iConference 2022)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13192))

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Abstract

Comparing the aging of scholars in different regions is critical to have an integrative understanding of its causes and effects on academic performance. Using descriptive statistics and comparative analysis methods, we categorize aging trends in four types and find correlations between aging and academic performance by regression analysis. Findings show that: (1) Aging phenomenon is widespread in different regions, but their aging trends are obviously different at the regional level. Aging types include: Tending towards youth, tending towards maturity, maintaining maturity, and tending towards senility; (2) the type of aging largely depends on the variation in the proportion of scholars in different age groups; (3) aging can be further categorized into positive and negative ones based on the academic performance across of a region. The research is of great significance for understanding aging mechanism, solving problems it brings and informing decision-making for policy-makers.

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Acknowledgement

This work was supported by National Social Science Fund of China [18BTQ076].

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Authors and Affiliations

  1. School of Information Management, Sun Yat-Sen University, Guangzhou, Guangdong, China

    Tongyang Zhang, Jiexun Wu, Zhiwei Ye & Jian Xu

  2. School of Information, University of Texas at Austin, Austin, TX, USA

    Ying Ding

Authors
  1. Tongyang Zhang
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  2. Jiexun Wu
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  3. Zhiwei Ye
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  4. Ying Ding
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  5. Jian Xu
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Corresponding author

Correspondence to Jian Xu .

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Editors and Affiliations

  1. Humboldt-Universität zu Berlin, Berlin, Germany

    Malte Smits

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Zhang, T., Wu, J., Ye, Z., Ding, Y., Xu, J. (2022). Cross-Regional Analysis of the Aging Phenomenon of Biomedical Scholars. In: Smits, M. (eds) Information for a Better World: Shaping the Global Future. iConference 2022. Lecture Notes in Computer Science(), vol 13192. Springer, Cham. https://doi.org/10.1007/978-3-030-96957-8_22

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  • DOI: https://doi.org/10.1007/978-3-030-96957-8_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96956-1

  • Online ISBN: 978-3-030-96957-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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