#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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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
26
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 26
0
Avg reactions / post
Mastodon · last 26
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-02 14:27 UTC
0
09-26
0
09-27
0
09-28
0
09-29
0
09-30
0
10-01
0
10-02

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

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-02 14:27 UTC

No related tags with measured usage found for #peerreviewing.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-02 14:27 UTC

Everything below is measured over the latest 26 public posts (spanning ~39119 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (13) · French (12) · Dutch (1)

Avg boosts / post: 2.7

Top of the latest posts

  • I am sick and tired of journals sending manuscripts for review where the text is separated from the figures which are separated from their legend. There is absolutely no justification for this layout. I think I'll refuse to review one more

    El Duvelle@[email protected]♥ 1↻ 72026-07-25 09:01 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