#SysRev
Live, measured metrics for the hashtag #SysRev from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #sysrev
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 22:13 UTC0 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 2026-07-28 22:13 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 22:13 UTCEverything below is measured over the latest 40 public posts (spanning ~12767 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (40)
Avg boosts / post: 0.2
Used together with
Top of the latest posts
@PaquitoBernard #SysRev Cc @nyhan @hildabast @LajeunesseLab @wviechtb You can otherwise find many open systematic review tools via: https://tera-tools.com/ https://www.systematicreviewtools.com/
Transmission of SARS-CoV-2 should be conceptualised as a spectrum of risk where time exposed may be the dominant factor. - Wilson 2020 Anaesthesia #SysRev → (summary) https://metajournal.com/32311771
When we talk about grey literature, do we also consider grey information and grey data? I usually define it as conference papers, dissertations, and preprints only. A worthwhile read on this topic: https://doi.org/10.1186/s13643-016-0337-y
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/sysrev