Science convergence in affective research is associated with impactful multidisciplinary appeal rather than multidisciplinary content

Vitalii Zhukov, Alexander M. Petersen, Daniel Dukes, David Sander, Panagiotis Tsiamyrtzis, Ioannis Pavlidis
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Abstract

Affectivism is a research trend dedicated to the study of emotions and their role in cognition and human behavior. Affectivism both complements and competes with cognitivism, which typically neglects affect in explaining behavior. By the nature of their subject, both affectivism and cognitivism constitute fertile grounds for studying the confluence of conceptual knowledge from diverse disciplines, which is often credited with major breakthroughs and is known as convergence science. Analyzing over half a million relevant publications from PubMed, selected according to psychologist chosen MeSH terms, we find that affectivism yields higher impact than cognitivism, as measured through normalized citations. Importantly, this higher impact is strongly associated with higher multidisciplinarity in the citations of affectivism publications but lower multidisciplinarity in the papers themselves. Hence, the case of affectivism suggests that research content of low topical diversity but broad value can generate strong and wide-ranging scholarly impact, feeding downstream convergence. Affective research generates more diverse citations that cover a higher variety of research fields when compared to cognitive research. This occurs despite a more narrow focus of topics included in the original affective articles themselves

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情感研究中的科学融合与具有影响力的多学科吸引力而非多学科内容有关
情感主义是一种研究趋势,致力于研究情感及其在认知和人类行为中的作用。情感主义与认知主义既互补又竞争,后者在解释行为时通常会忽视情感。由于其研究对象的性质,情感主义和认知主义都是研究不同学科概念知识融合的沃土。通过分析根据心理学家选择的 MeSH 术语从 PubMed 上选取的 50 多万篇相关出版物,我们发现情感主义比认知主义产生了更大的影响(通过归一化引文来衡量)。重要的是,这种较高的影响力与情感主义出版物被引用时较高的多学科性密切相关,但论文本身的多学科性较低。因此,情感主义的案例表明,专题多样性较低但价值广泛的研究内容可以产生强大而广泛的学术影响,促进下游的融合。与认知研究相比,情感研究产生了更多样化的引文,涵盖了更多的研究领域。尽管原创情感文章本身所包含的主题范围较窄,但仍出现了这种情况
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