ArticleFrontiers in research metrics and analytics2025
The Dimensions API: a domain specific language for scientometrics research.
Article in Frontiers in research metrics and analytics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
We describe the Dimensions Search Language (DSL), a domain-specific language for bibliographic and scientometrics analysis. The DSL is the main component of the Dimensions API (version 2.12.0), which provides end-users with a powerful, yet simple-to-learn and use, tool to search, filter, and analyze the Dimensions database using a single entry point and query language. The DSL is the result of an effort to model the way researchers and analysts describe research questions in this domain, as opposed to using established paradigms commonly used by software developers e.g., REST or SOAP. In this article, we describe the API architecture, the DSL main features, and the core data model. We describe how it is used by researchers and analysts in academic and business settings alike to carry out complex research analytics tasks, like calculating the H-index of a researcher or generating a publications' citation network.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.