#neisseria
Live, measured metrics for the hashtag #neisseria from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #neisseria
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 2026-10-23 06:57 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 2026-10-23 06:57 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-23 06:57 UTCEverything below is measured over the latest 5 public posts (spanning ~33044 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0.4
Top of the latest posts
Emergence of short-lived #meningococci causing focal #epidemics can be associated with #gene #transfer from carriage-associated #Neisseria, https://etidiohnew.blogspot.com/2026/09/emergence-of-short-lived-meningococci.html
SciTech Chronicles. . . . . . . . .Mar 17th, 2025 https://bit.ly/stc031725 #dementia #nitrate #Porphyromonas #Neisseria #Lookup #Registration #IETF #gTLD #MIMO #FPA #MRA #SQP #wildfires #mesh #Kinéis #Silvanet #cortical #amygdala #neurobiol
#Neisseria gonorrhoeae evades immunity by altering its surface structures. This study shows that this process also modulates bacterial interactions, driving microcolony diversification, aggregation, colony morphology & #antibiotic tolerance
What “neisseria” means
WikipediaNeisseria is a large genus of bacteria that colonize the mucous membranes of many animals. Of the 11 species that colonize humans, only two are pathogens: N. meningitidis and N. gonorrhoeae.
“Neisseria” on Wikipedia (CC BY-SA) →#neisseria across platforms
every network with a public tag surfaceFollow #neisseria 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/neisseria