#academictwitter
Live, measured metrics for the hashtag #academictwitter from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #academictwitter
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-02 00:16 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-02 00:16 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 00:16 UTCEverything below is measured over the latest 40 public posts (spanning ~13585 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (34) · Chinese (China) (3) · Italian (1) · German (1)
Avg boosts / post: 1
Top of the latest posts
📢 New Award for #ECRs in #Biochemistry! Apply for our Meeting Award to get: ✅ 500 € grant for the #Biochemistry2026 conference ✅ 1 year of free division membership Apply now: https://en.gdch.de/network-structures/gdch-structures/biochemist
📢 New Award for #ECRs in #Biochemistry! Apply for our Meeting Award to get: ✅ 500 € grant for the #Biochemistry2026 conference ✅ 1 year of free division membership Apply now: https://en.gdch.de/network-structures/gdch-structures/biochemist
📢 New Award for #ECRs in #Biochemistry! Apply for our Meeting Award to get: ✅ 500 € grant for the #Biochemistry2026 conference ✅ 1 year of free division membership Apply now: https://en.gdch.de/network-structures/gdch-structures/biochemist
#academictwitter across platforms
every network with a public tag surfaceFollow #academictwitter 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/academictwitter