#affiliations

Live, measured metrics for the hashtag #affiliations 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 #affiliations

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.

$5.00/ year · 12-character #name
Claim #affiliations — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0
Avg reactions / post
Mastodon · last 5
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-05 01:28 UTC
0
09-29
0
09-30
0
10-01
0
10-02
0
10-03
0
10-04
0
10-05

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 2026-10-05 01:28 UTC

No related tags with measured usage found for #affiliations.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-05 01:28 UTC

Everything below is measured over the latest 5 public posts (spanning ~23491 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4) · French (1)

Avg boosts / post: 1.8

Top of the latest posts

  • #Update! Version 10.5.2 is live, featuring growth all around! Increases in the total number of #Research products, #Affiliations, #Scientific products associated to #Funding information, and more. See all updates in the changelog! Changelog

    The OpenAIRE Graph@[email protected]♥ 0↻ 02025-10-07 13:00 UTCView post →

  • @crossref enrichie ses jeux de métadonnées avec des #affiliations et les #pids du @ResearchOrgs Bilan et analyse de l'#opendata CrossRef #metrics #science #scientometrics Participation reports - now with affiliation coverage data! - Metadat

    ndocist@[email protected]♥ 0↻ 32024-07-25 05:00 UTCView post →

  • Major #USA #political #affiliations explained

    ☭ The Dialectical Communist 🇵🇸🇾🇪🇸🇾🇮🇷@[email protected]♥ 0↻ 42024-05-15 13:46 UTCView post →

#affiliations across platforms

every network with a public tag surface

Follow #affiliations 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/affiliations