#literaturesearch
Live, measured metrics for the hashtag #literaturesearch from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #literaturesearch
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-16 14:47 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-16 14:47 UTCNo related tags with measured usage found for #literaturesearch.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-16 14:47 UTCEverything below is measured over the latest 28 public posts (spanning ~69993 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (26) · German (2)
Avg boosts / post: 1.4
Top of the latest posts
OpenScholar is a specialized retrieval-augmented language model that answers scientific queries by identifying relevant passages from 45 million open-access papers. It promises to not making up or ‘hallucinating’ citations. #AcademicResearc
Advancing Compound Flood Modeling to Evaluate Coastal Protection Benefits of Natural Infrastructure -- https://coastalscience.noaa.gov/news/advancing-compound-flood-modeling-to-evaluate-coastal-protection-benefits-of-natural-infrastructure/
JSTOR's Text-Analyzer (beta) is fun and useful. Put any text in (upload an article, paste in portions of something you are writing) and it will analyze it and give you an adjustable search to find more articles from JSTOR's collection. Add
#literaturesearch across platforms
every network with a public tag surfaceFollow #literaturesearch straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/literaturesearch