Dimensions

Dimensions is a research intelligence platform built on one of the world’s largest linked research databases. It connects publications, grants, patents, clinical trials, datasets, and citations so researchers, institutions, and companies can discover and analyze work across the entire research ecosystem — now with AI-powered features that speed up landscape scanning and reviewer finding. For anyone doing serious research analysis, it is a powerful resource.

What is Dimensions?

Dimensions, from Digital Science, is a research intelligence platform built on the world’s largest linked research database, connecting publications, grants, patents, clinical trials, datasets, policy documents, and citations to enable discovery and analysis across the research ecosystem. Its scale is substantial — on the order of 164 million publications (with a large share full-text indexed), 170 million patents, millions of grants, and hundreds of thousands of clinical trials. Its features include analytics and search, AI-powered landscape discovery for rapid horizon scanning with customizable dashboards, a reviewer finder that identifies expert reviewers with match scoring, research-security and network analysis, benchmarking and trend insights, and API and BigQuery access to stream data into workflows or combine it with external datasets. Dimensions serves academic institutions, publishers, pharmaceutical companies, government agencies, nonprofits, and enterprises. It offers free access to core publication search, with paid subscriptions and API/BigQuery access for advanced analytics.

What it does well

• Vast linked data: publications, grants, patents, trials, and citations.
• AI landscape discovery: rapid horizon scanning with dashboards.
• Reviewer finder: identify expert reviewers with match scoring.
• Powerful access: analytics plus API and BigQuery integration.

Who it is for

Dimensions fits researchers, research offices, publishers, pharmaceutical and biotech companies, funders, and government agencies that need to search, analyze, and benchmark across the research landscape — linking publications to grants, patents, and trials — with AI-assisted discovery and data access via API or BigQuery. Its free publication search makes it approachable for individual researchers, while advanced analytics suit institutions. Casual users with only occasional lookups may use simpler tools, and full analytics are paid, but for serious research intelligence and landscape analysis, Dimensions is a powerful, well-regarded platform.

Things to keep in mind

• Advanced analytics, API, and BigQuery access require paid subscriptions.
• Its full power suits institutions and research teams more than casual users.
• Getting the most out of it benefits from research-analysis know-how.

Our verdict

Dimensions is a powerful research intelligence platform, and its foundation — one of the largest linked databases connecting publications, grants, patents, clinical trials, and citations — makes it invaluable for discovering and analyzing research across the whole ecosystem. AI-powered landscape discovery and a reviewer finder, plus API and BigQuery access, extend it well beyond simple search. Full analytics are paid and it suits institutions most, but with free core publication search and deep capabilities, Dimensions is an excellent choice for serious research analysis.

Frequently asked questions

What is Dimensions?

Dimensions is a research intelligence platform from Digital Science built on a large linked database connecting publications, grants, patents, clinical trials, and citations.

What AI features does Dimensions have?

It includes AI-powered landscape discovery for rapid horizon scanning and a reviewer finder that identifies expert reviewers with match scoring.

Is Dimensions free?

Dimensions offers free access to core publication search, with paid subscriptions and API/BigQuery access for advanced analytics.

Who is Dimensions for?

It is for researchers, institutions, publishers, pharma companies, funders, and government agencies that need to search and analyze the research landscape.