Pubcompare

What is Pubcompare?

PubCompare is a specialized search engine for real experimental protocols. Built for scientists, it offers a user-friendly interface and precise search results, with the goal of making research more transparent, reducing wasted effort, and improving how protocols are processed in the health sciences.

Key capabilities include:

• Access to over 26 million open access protocols from peer-reviewed publications, plus 1 million open access protocols sourced from patents.
• AI tools that detect, compare, and evaluate how reproducible a protocol is.
• Advanced search with semantic analysis, which broadens or narrows searches based on meaning.
• Discovery of key methods and protocols that are often hidden behind paywalls.

PubCompare helps scientists build solid protocols and reduce the chances of experiments failing, while supporting collaboration in scientific research.

Who created Pubcompare?

Biowebspin SA created PubCompare to connect research in industry with academia. The platform was developed through conversations with scientists worldwide, with the goal of indexing millions of methods and providing tools that save researchers time.

The team includes data scientists, front-end and AI developers, and communication managers. PubCompare is based in Switzerland and continues to develop through partnerships with academia, industry, and other institutions.

What is Pubcompare used for?

• Identify successful protocols by citation frequency and review the most up-to-date protocols used in past research.
• Search a large database of experimental protocols, particularly in the Life Sciences, including data on approved medical and surgical protocols.
• Find protocols directly from the Materials and Methods section of papers — information often missed by search engines like Google or PubMed.
• Identify crucial steps within a protocol and assess its reproducibility.
• Compare multiple publications side-by-side to spot differences in methods, measurements, and outcomes.
• Share standardized protocols within teams or across institutions to support replication and verification of results.
• Streamline literature review and track trends and new developments in a specific field, supporting research integrity through transparency and reproducibility.