#pubpeer
Live, measured metrics for the hashtag #pubpeer from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #pubpeer
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 2026-07-27 08:56 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 2026-07-27 08:56 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:56 UTCEverything below is measured over the latest 40 public posts (spanning ~22547 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (32) · French (3) · German (3) · Japanese (2)
Avg boosts / post: 2.6
Top of the latest posts
@elduvelle @albertcardona @neuralreckoning To me this question seems to be the issue of the #eLife journal hypothesis: they are providing reviews on preprints. They are basically post-preprint review (like #PubPeer), but unlike PubPeer, the
nice papermill diagnostic when snaky names in programming get substituted https://pubpeer.com/publications/28241B16E6B3A9F2E99FCC48C6626B #papermills #plagiarism #PubPeer
We all know there are several #Pubpeer comments showing fraudulent data and AI-generated papers in #ScientificReports by #SpringerNature, but wow that journal's #review process is screwed up much more than people realize.... Worst experienc
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/pubpeer