| 郑楚华,张贵兰.论文跨学科性、作者特征对社会影响力的跨层次影响机制[J].情报工程,2025,(6):091-106 |
| 论文跨学科性、作者特征对社会影响力的跨层次影响机制 |
| Cross-level Impact Mechanisms of Paper Interdisciplinarity and Author Characteristics on Social Impact |
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| DOI： |
| 中文关键词: 跨学科性；Altmetrics；社会影响力；作者特征；分层线性模型 |
| 英文关键词: Interdisciplinarity; Altmetrics; Social Impact; Author Characteristics; Hierarchical Linear Modeling |
| 基金项目:国家社会科学基金青年项目“基于感知价值判断的跨学科科技领军人才识别研究（23CTQ022）。 |
| 作者 | 单位 | | 郑楚华 | 中国科学技术信息研究所 北京 100038 | | 张贵兰 | 中国科学技术信息研究所 北京 100038 |
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| 中文摘要: |
| [目的/意义]跨学科知识生产如何转化为广泛的社会影响力，其内在机制尚不清晰。剖析论文的跨学科特征如何影响其社会影响力，并探究作者学术特征在其中发挥的调节作用，以揭示跨学科社会影响力的生成机制。[方法/过程]整合论文层次与作者层次变量，以心理学领域 2011―2015 年间的代表性论文为样本，构建分层线性模型进行分析。在论文层次，测度参考文献的学科丰富性、差异性与均衡性；在作者层次，纳入其学术影响力与生产力特征。社会影响力则通过涵盖新闻、政策、社交媒体等多维度的 Altmetrics 指标进行衡量。[局限]研究结论基于特定学科领域与特定时段的高影响力作者群体，其普适性有待在不同学科与更广泛作者样本中进一步验证。[结果/结论]研究发现，论文的学科丰富性对其社会影响力各维度均产生显著正向影响，而学科差异性与均衡性则对政策引用等指标有抑制作用。作者的学术影响力特征能显著增强学科丰富性对社会影响力的正向作用，但该调节效应强度随受众专业化程度提高而减弱。研究为优化学科交叉研究的策略设计与效果评估提供了实证依据。 |
| 英文摘要: |
| [Objective/Significance] The mechanism through which interdisciplinary knowledge production translates into broad social impact remains insufficiently explored. This study aims to dissect how the interdisciplinary features of a paper affect its social impact and to examine the moderating role of author characteristics, thereby revealing the generating mechanisms of interdisciplinary social impact. [Methods/Processes] Integrating variables at both the paper and author levels, this study analyzes a sample of publications from the field of psychology (2011—2015) using hierarchical linear modeling. At the paper level, interdisciplinarity is measured by the variety, disparity, and balance of referenced disciplines. At the author level, academic impact and productivity traits are included. Social impact is gauged via multidimensional Altmetrics indicators covering news, policy, and social media attention, among others. [Limitations] The conclusions are drawn from a specific discipline and a cohort of high-impact authors within a defined period. Their generalizability requires further validation across diverse disciplines and broader author samples. [Results/Conclusions] The findings indicate that the variety of disciplines in a paper’s references significantly enhances all measured dimensions of its social impact, while disparity and balance inhibit certain metrics like policy citations. Notably, an author’s high-impact status significantly amplifies the positive effect of variety on social impact, although this moderating effect diminishes as the expertise level of the audience increases. This research provides an empirical basis for optimizing the design and evaluation of interdisciplinary research. |
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