The Internet has played a vital role in the dissemination of scientific knowledge in recent years with journal publications making their content available online and search engines efficiently indexing this content. These search algorithms serve the purpose of finding what one is looking for but cannot help students and new researchers by guiding them in the right direction to easily begin research in an unfamiliar field. Simply put, finding knowledge has become simple and efficient but finding the relevant knowledge is a challenge. As a result, we have developed a social networking tool for students and researchers in the field of mechanotransduction to help rank, organize and discuss scientific knowledge as a community rather than relying on the limited capabilities of existing computer algorithms.
Who we are
The Mechanotransduction Knowledgebase's Recommendation Engine of Mechanotransduction (REM) was started by the Mofrad Lab at UC Berkeley in 2009 as a better way to organize and discuss journal articles in a way that future students in the lab would also benefit from. We realized that the recommendation engine is something that students and researchers around the world can also benefit from and created this site along with its Introduction and Wiki sections in an effort to advance mechanotransduction education.