#PeerReviewing

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

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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.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
27
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 27
0
Avg reactions / post
Mastodon · last 27
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-02 16:02 UTC
0
10-27
0
10-28
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02

0 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 2026-11-02 16:02 UTC

No related tags with measured usage found for #peerreviewing.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-02 16:02 UTC

Everything below is measured over the latest 27 public posts (spanning ~39914 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (15) · French (11) · Dutch (1)

Avg boosts / post: 2.4

Top of the latest posts

  • Hypothetical question on #genAI and #PeerReview because I feel this will eventually happen... Say you are a researcher and receive a manuscript to peer-review that, after accepting to review it, you realise used genAI for its analysis and i

    El Duvelle@[email protected]♥ 1↻ 12026-10-26 15:16 UTCView post →

  • Le modèle #PublishReviewCurate, une solution à la crise du #PeerReviewing ? Dmitry Kochetkov défend ce modèle reposant sur la #Transparence : l’article est d’abord publié sous forme de #Préprint, puis évalué publiquement, avant une éventuel

    Open Science Pasteur@[email protected]♥ 0↻ 12026-09-23 11:56 UTCView post →

  • Comment les #Reviewers peuvent-ils repérer les travaux frauduleux générés par #IA ? Les conseils de Dorothy Bishop à partir de sa propre expérience #IntegriteScientifique #PeerReviewing ➡️ https://deevybee.blogspot.com/2026/08/acceleration-

    Open Science Pasteur@[email protected]♥ 0↻ 12026-09-21 14:27 UTCView post →

#peerreviewing across platforms

every network with a public tag surface

Follow #peerreviewing 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/peerreviewing