#peerreviews

Live, measured metrics for the hashtag #peerreviews from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #peerreviews

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.

$10.85/ year · 11-character #name
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
19
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 19
0.1
Avg reactions / post
Mastodon · last 19
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-13 07:56 UTC
0
11-07
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-11-13 07:56 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-13 07:56 UTC

Everything below is measured over the latest 19 public posts (spanning ~34235 hours).

Posting hours (UTC) — busiest: 06:00

00:0012:0023:00

Languages: English (15) · German (4)

Avg boosts / post: 0.9

Top of the latest posts

  • Does some #LLM love the words "interplay" and "kaleidoscope" because I've seen these words increasingly frequently in some #PeerReviews recently?

    Tuomas Väisänen 📼🧟‍♂️@waeiski@vis.social♥ 1↻ 32024-11-18 10:58 UTCView post →
  • I mentioned in my #introduction post that I have been working on a few things for the last 6-7 months. The first thing is now out! The CEU Press is starting a #podcast series! I will talk to people about the various aspects of academic #pub

    Andrea Talaber@talaberandrea@mstdn.social♥ 1↻ 12022-11-08 13:23 UTCView post →
  • @jimbob Purely from a personal interest perspective, I found your post quite enlightening — scary stats. You’ve also restored some of my faith in *Journal publication* because of the trouble you went through to validate aspects of your reje

    RaymondPierreL3@RaymondPierreL3@aus.social♥ 0↻ 02026-10-05 00:45 UTCView post →

#peerreviews across platforms

every network with a public tag surface

Follow #peerreviews 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/peerreviews