Lit Mind Maps vs SciSpace

Lit Mind Maps is a web tool for Masters and PhD students conducting literature searches and evidence mapping. Users enter a research question in plain language or provide a paper title or DOI. The service returns cited answers based on retrieved academic papers, then places those papers in a three-branch literature mind map and idea timeline. Branch sets can be changed before another search. A citation map displays a seed paper, its references and citing papers as bubbles arranged by year and citation count. Five optional answer sets address definition, mechanism, evidence, effects and comparison, with three branches each. After signing in and searching, users can download a Word starting draft for a literature review or proposal. Records come from Semantic Scholar. Searches use titles, abstracts and metadata rather than every paper’s full text. The service describes results as a starting aid and advises checking papers.

SciSpace is a platform for finding, analyzing, and writing about scientific literature. Its literature review tool searches more than 280 million articles and organizes concise findings in tables with customizable columns. Chat with PDF offers citation-backed answers, section-by-section summaries, explanations of highlighted passages, and related-paper recommendations. Writing tools include AI-assisted suggestions, paraphrasing in context, style improvements, and an editor supporting more than 75 languages. Users can import references from Zotero or EndNote, though the Zotero import flow excludes papers without a DOI. A Chrome extension explains selected text, math, and tables; its mobile app is for iOS and supports searching, summarizing, and exploring peer-reviewed journals. SciSpace says its repository has metadata for 200 million-plus papers and 50 million-plus open-access full-text PDFs. It lists extension, iOS, and web access. The free plan is free and includes 100 monthly credits; paid plans start at $20/mo. SciSpace says uploaded PDFs are private to the user and are not used to train its AI models.