TrendMD Endeavors to Develop OA Publishing

One of the strongest currencies in the academy is scholarly impact, which has traditionally been equated with citations, whether for an individual, an article, a department, a university, or a journal. Ever since an exponential increase in scholarly literature has been observed impeding academic progress, many researchers recommended modifying research dissemination and discoverability methods. “Related article Functionality” helps readers find related content and are found to be the most noteworthy and popular feature of scholarly websites. This feature is popular across multiple disciples from Medicine, Social sciences to engineering. TrendMD’s Related Articles feature is AI-enhanced making it more efficient for knowledge translation and dissemination to targeted audiences. It uses the AI-based technique called “Collaborative Filtering” to offer recommendations that are most likely to interest the readers and raises users' overall click-through rate (CTR) on the recommendations feature by nearly three times the CTR of a standard "similar article" algorithm. TrendMD's traffic exchange system and AI-enhanced Collaborative Filtering allow increased readership, citations, and Impact Factor, driving submissions, and further conversations and signups.