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Annotate and store text/quotes/images in a quote/image searchable library for writing accurately cited paper based on quotes/images. nXr.iNote supports you to collect text/quotes and images/graphs with tags/notes from articles while browsing, which are automatically stored along with the articles in a quote/image searchable library (nXr.iLibrary). Then, you can write well-substantiated reports/writing assignments/research papers by referring/making citations based on the quotes and images besides article titles. Moreover, you can share the cited quotes/images/articles with your peers or reviewers (by nXr.iCite) to confirm that your writing is comprehensive and free from quotation/citation errors. Other key features: - support for making annotated bibliography - create topics that group together information on issues or questions from various sources - article information autofill, save PDF, multi-label article grouping. - view notes automatically in articles when they are visited again. - share articles while browsing without writing emails. - anonymous integration and viewing of articles and their annotations made by a research group members (in nXr group account). - access Read it later, Latest read while browsing. - access millions of research papers made freely available by funders (powered-by Unpaywall) Visit nxref.com to learn more on how to do things for better research through nXr.iNote integration with nXr.iLibrary and nXr.iCite, which can never be done with traditional reference managers and citation tools. Please rate us and leave feedback for making nXr more productive for you.
Oct 17, 2023
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.