Final answer:
Knowledge Article suggestions are typically generated by searching the content of the articles, such as titles, abstracts, and key terms. Academic databases are used to provide high-quality sources that match search queries, relying on algorithms to deliver the most relevant articles.
Step-by-step explanation:
When looking for Knowledge Article suggestions, the default field that is often searched comprises the content within the articles themselves, including titles and keywords. This is because the content of an article is typically the most informative and specific to the search terms provided during a literature review. For example, if we refer to Fig. G1 from the question, it would likely concern the methodology for literature searches in invasion science and the geographic distribution of the research output. An effective approach when conducting academic research is to look for relevant scholarly articles using academic databases that index articles based on their content and metadata.
The process includes sifting through academic databases to find high-quality sources. Such databases are designed to prioritize the relevance and quality of research, thus providing the most pertinent Knowledge Article suggestions for researchers. These databases use sophisticated algorithms that examine article titles, abstracts, and content to match user queries with the best possible sources.