Blog
A patent cliff is approaching and billions hang in the balance. Quality patent data will be the dealbreaker.
Pharma teams are racing to build trustworthy, explainable AI workflows. Complete, curated patent data is the foundation.
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BlogMoving from reputation to reach: data-driven decision-making for Medical Affairs publication targets
How do Medical Affairs and publications teams decide where to publish? -
BlogFrom Vision to Velocity: Architecting a Functional AI Strategy for Medical Affairs
How are organizations architecting functional AI strategies that will shape the next phase of AI in Medical Affairs? -
BlogReducing the Hidden Administrative Cost of Open Access
The theme for International Open Access Week 2026 is "The Cost of Knowledge". How can we help ease that burden? -
BlogCitations are only part of the picture. Life Sciences needs the whole story.
Only alternative metrics can tell Medical Affairs teams if research is landing in real-time. -
BlogThe retraction ledger of a discredited science lab
Discover how discredited science persists. Dimensions and Retraction Watch analyze retraction ledgers, citation impact, and the … -
BlogHow a lab came undone
How did a major research lab collapse? Dimensions and Retraction Watch investigate data integrity and the lifecycle of retractions. -
BlogLiterature vs. structured databases in the biopharma data stack
Learnings from a Digital Science-hosted roundtable discussion at AI in Drug Discovery hubXchange 2026. -
BlogThe next era of AI in drug discovery
Key takeaways and insights from Mark Hahnel’s keynote speech at AI in Drug Discovery hubXchange 2026. -
BlogIn Life Sciences, data integrity is non-negotiable
This first of a new series – Inside Our Data – explores the foundational data infrastructure that makes trust possible. -
BlogA double-edged sword: the growing complexity of Medical Affairs publication performance data
When unique, Medical Affairs-relevant data sources come already embedded, the diversity of data is no longer an obstacle. -
BlogShow your sources: building verifiable, citable AI agents with MCP
Our new Dimensions & Altmetric MCPs ground LLMs in structured data, generating verified, citable results that research teams can trust.