Scientometrics has many citation-based measurements for characterizing diversity, but most of these measurements depend on human-designed categories and the granularity of discipline classifications sometimes does not allow in-depth analysis. As such, the current paper proposes a new measurement for quantifying journals’ diversity by utilizing the abstracts of scientific publications in journals, namely Topic Diversity (TD). Specifically, we apply a topic detection method to extract fine-grained topics, rather than disciplines, in journals and adopt certain diversity indicators to calculate topic diversity. Since TD only needs as inputs abstracts of publications rather than citing relationships between publications, this measurement has the potential to be widely used in scientometrics.

中文翻译：

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主题多样性：一种无学科方案的期刊多样性测量

Scientometrics 有许多基于引文的测量来表征多样性，但这些测量中的大多数取决于人为设计的类别，并且学科分类的粒度有时不允许进行深入分析。因此，本文提出了一种利用期刊科学出版物摘要来量化期刊多样性的新方法，即主题多样性 (TD)。具体来说，我们应用主题检测方法来提取期刊中细粒度的主题，而不是学科，并采用某些多样性指标来计算主题多样性。由于 TD 只需要作为输入的出版物摘要而不是引用出版物之间的关系，这种测量有可能被广泛用于科学计量学。