#MicrobialEvolution
Live, measured metrics for the hashtag #MicrobialEvolution from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #microbialevolution
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:53 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 2026-07-27 08:53 UTCNo related tags with measured usage found for #microbialevolution.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:53 UTCEverything below is measured over the latest 21 public posts (spanning ~31170 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (21)
Avg boosts / post: 3.2
Top of the latest posts
Happy to see the first experimental project I led finally out in the world! With Jeremy Moore, Sydney Olsen, and Mike Travisano We combined experimental evolution and mathematical modeling to ask: do bacteria evolve to swim away from phages
#Phages are key drivers of #MicrobialEvolution, but many #phage genes are poorly understood. @denish_piya @AdamArkinLab @vivek_mutalik &co use arrayed genome-wide #CRISPRi to map gene the essentiality landscape in the iconic coliphages λ &
I just released gcplyr v1.5.0 on github. gcplyr is an #RStats package that makes it easy to wrangle and do model-free analyses of #microbial growth curve data https://mikeblazanin.github.io/gcplyr/ v1.5.0 includes: - fixes for critical bugs
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/microbialevolution