#longitudinal

Live, measured metrics for the hashtag #longitudinal 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 #longitudinal

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
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.3
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 09:10 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-07-27 09:10 UTC
#longitudinalstudy
1 uses · 1 accounts / 7d
#longitudinaldata
0 uses · 0 accounts / 7d
#longitudinalchromaticaberration
0 uses · 0 accounts / 7d
#longitudinaldietimpact
0 uses · 0 accounts / 7d
#longitudinalhealthylongevitysurvey
0 uses · 0 accounts / 7d
#longitudinalstudyinsights
0 uses · 0 accounts / 7d
#longitudinalstudyfindings
0 uses · 0 accounts / 7d
#LongitudinalDataAnalysisAndTimeSeries
0 uses · 0 accounts / 7d
#longitudinalantarcticctdprofiles
0 uses · 0 accounts / 7d
#IntensiveLongitudinalData
0 uses · 0 accounts / 7d
#longitudinalfamilypractice
0 uses · 0 accounts / 7d
#longitudinalanalysis
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 09:10 UTC

Everything below is measured over the latest 40 public posts (spanning ~26213 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (37) · German (1) · French (1) · Italian (1)

Avg boosts / post: 1.6

Top of the latest posts

  • (Interested in) Working with the random-intercept Cross-lagged Panel Model and unsure what sample size to use? Jeroen Mulder fixed it for you: Mulder, J.D., (2022). Power analysis for the random intercept cross-lagged panel model using the

    Noémi K. Schuurman@NKSchuurman♥ 10↻ 82022-12-05 08:33 UTCView post →

  • Remarks about #m-bias; bigger picture: why #longitudinal data are generally needed for #causalinference ( #causaldiagrams are not enough) https://go-bayes.github.io/b-causal/posts/m-bias/m-bias.html

    Joseph Bulbulia@[email protected]♥ 1↻ 32022-11-30 09:23 UTCView post →

  • CPC-CG member Professor Ann Berrington will discuss #partnership and #fertility trajectories, drawing on #data from the 1970 #British #Cohort Study (#BCS70), as part of the #UCL #Quantitative #SocialScience and Centre for #Longitudinal Stud

    Centre for Population Change@[email protected]♥ 0↻ 02025-11-24 09:42 UTCView post →

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/longitudinal