Pubmed Notes

PubMed Notes – Add, save, and organize your notes right inside PubMed

PubMed Notes is a lightweight yet powerful Chrome extension that enhances your PubMed experience by allowing you to annotate articles, authors, search queries, and virtually any page on the platform. Whether you’re conducting a systematic review, preparing for a publication, or simply exploring the latest research, PubMed Notes keeps your thoughts, highlights, and references exactly where they belong — alongside the source. With a clean interface, PubMed Notes integrates seamlessly into PubMed, ensuring your annotations are always a click away without disrupting your workflow. Your notes are fully searchable, helping you organize and retrieve information effortlessly. ## Core Features Add personal notes to any PubMed article directly from its page. Annotate author profiles with context, collaboration ideas, or credibility notes. Attach notes to search queries, so you remember your search strategy or filter logic. Persistent notes that reappear when you revisit the same page. Tagging system to group notes by topic, project, or priority. Full-text search within your notes for instant retrieval. Clean, non-intrusive UI integrated into PubMed’s native layout. ## Coming Soon Cloud sync across devices for seamless access. Export to reference managers (Zotero, Mendeley, EndNote). Markdown support for rich-text formatting. Highlighting passages within abstracts or full-text views. Collaboration mode to share notes with team members or co-authors. Custom categories and color-coding for visual organization. Version history to track edits and previous note states. Offline mode for access without internet connection. AI-powered note suggestions based on article content. Integration with ORCID to link notes directly to your researcher profile. Import/Export in CSV or JSON for backup or migration. Quick links to related literature based on your annotations. Reminders & alerts for follow-up on specific articles or topics. Secure note encryption for sensitive research data.