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Save papers, grants, and lab equipment to AcaTrove from supported pages, and fill SciENcv biosketch fields from your record. AcaTrove saves research metadata into your AcaTrove workspace without copy-paste. On a supported page — a journal article, a preprint, a bibliographic record, a funding opportunity, an award record, or a lab supplier product page — click "Save to AcaTrove" or the toolbar icon. The extension reads the metadata the page already publishes (title, authors, DOI, abstract, journal, date, source URL, funding details, or product details) and saves it to the project or lab you choose. Supported sites are listed on the welcome page after you install. Papers go to your reference library by default. Tick "This is my own publication" to add one to your CV and analytics instead. SCIENCV BRIDGE After you generate an NIH or NSF biosketch in AcaTrove, open your biosketch in SciENcv, click a field, and insert the matching section — Personal Statement, Contributions to Science, Honors, Professional Preparation, or Appointments — with its character count shown. Text goes only into the field you selected. You review every field and certify the document yourself; nothing is submitted on your behalf. HOW IT CONNECTS Sign in once through AcaTrove using OAuth with PKCE. The extension never asks for your password and stores only a scoped access token on your device. It reads a page only when you ask it to save from that page, and does not track your browsing. If extraction or saving fails, it says so rather than inventing metadata. An AcaTrove account is required; a free tier is available at acatrove.com.
Sep 14, 2026
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.