#readingscience
Live, measured metrics for the hashtag #readingscience from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #readingscience
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 2026-11-06 14:22 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 2026-11-06 14:22 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-06 14:22 UTCEverything below is measured over the latest 2 public posts (spanning ~558 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 6
Top of the latest posts
Let's see what the reach of Mastodon is like: My collaborator @bg is hiring a postdoctoral researcher at the University of Cologne: https://jobportal.uni-koeln.de/ausschreibung/renderFile/1035?propertyName=flyer, to work on the topic of #Re
This recent paper was a super-interesting read with an elegant model & some great data (#Atari games, crypto white papers, & reddit memes). But... I'm a priori skeptical of *any* #SocialScience paper that uncritically cites books by Malcolm
#readingscience across platforms
every network with a public tag surfaceFollow #readingscience 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/readingscience