#bloodcount
Live, measured metrics for the hashtag #bloodcount from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bloodcount
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.online (Mastodon public tags API) · fetched 2026-07-31 19:00 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.online (Mastodon public search API) · fetched 2026-07-31 19:00 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-31 19:00 UTCEverything below is measured over the latest 2 public posts (spanning ~3473 hours).
Posting hours (UTC)
Languages: German (2)
Avg boosts / post: 0
Top of the latest posts
Delayed sepsis detection increases mortality risk. How can #MedicalAI assist us here? In the #AMPEL project, we extensively researched this over years using multicenter data from Germany and the USA. The results of our #OpenSource #AI basic
Labor medicine holds a significant place in Germany. Many #ML models rely on #labdata, and we believe this sets the stage for exciting #AI applications in the future #healthcare system. The German Laboratory Medicine Congress #DKLM has been
#bloodcount across platforms
every network with a public tag surfaceFollow #bloodcount 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/bloodcount