Question: Do you know of a system that uses machine learning and AI to uncover hidden patterns and thought leaders in research online attention data?

If you're looking for a system that uses machine learning and AI to find patterns and thought leaders in research attention data on the web, Altmetric is a great choice. The service indexes and analyzes online attention data for published research, providing a measure of research influence and impact. It gathers data from sources like social media, news articles and policy documents and offers tools like Altmetric Explorer for comparison and Altmetric API for integration with your own data. That can help you see how people engage with your work beyond mere citations and tailor your outreach accordingly.

For a broader AI research assistant, check out Elicit. Elicit lets you search, summarize and extract data from millions of research papers. It's geared for empirical subjects like biomedicine and machine learning, where you can find patterns, extract data into formatted tables and follow the latest research. It comes in several incarnations to suit your needs, including a basic free version and a Plus subscription version.

Trend Hunter AI uses AI to process and generate trend reports based on a large data set, so it's good for researchers and companies that want to track consumer trends. It offers AI-generated trend reports, customizable AI integration services and even a tool to write trend-based essays and reports. It's good for keeping a pulse on consumer trends and making business decisions based on data-driven insights.

Last, AYLIEN offers AI-based news intelligence services that can help you monitor mentions and trends on a wide range of subjects. It indexes millions of news articles each day and offers sophisticated search and analysis tools, including sentiment analysis and real-time data visualization. It's good for businesses that want to stay on top of things and make decisions based on data.