#researchevaluation
Live, measured metrics for the hashtag #researchevaluation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #researchevaluation
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.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-10 13:54 UTC0 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 2026-10-10 13:54 UTCNo related tags with measured usage found for #researchevaluation.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-10 13:54 UTCEverything below is measured over the latest 40 public posts (spanning ~16824 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (36) · German (2) · Ukrainian (1) · French (1)
Avg boosts / post: 1.7
Top of the latest posts
I presented some of my recent work at the IRIT Research Seminar – from strange bibliometric patterns and GenAI to research integrity and research climate. 📌 https://doi.org/10.13140/RG.2.2.31734.56647 The main question: finding something w
An interesting evolution from Mike Thelwall. A year ago, he was cautiously exploring whether LLMs could approximate expert research assessment. Today, he reports that ChatGPT-5 mini reached correlations of up to 0.905 with expert REF2021 qu
"Many of the loudest Open Science advocates are deeply embedded in the very systems they critique such as traditional publishing, prestige-driven academia and grant-dependent research cultures. They speak the language of reform while contin
#researchevaluation across platforms
every network with a public tag surfaceFollow #researchevaluation 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/researchevaluation