#分子生物學
Live, measured metrics for the hashtag #分子生物學 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #分子生物學
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-26 06:35 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 2026-08-26 06:35 UTCNo related tags with measured usage found for #分子生物學.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 06:35 UTCEverything below is measured over the latest 5 public posts (spanning ~48178 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (4) · Chinese (1)
Avg boosts / post: 0
Top of the latest posts
🌘 細胞、染色體與基因組:工程師基因組學導論 ➤ 從軟體思維解構生命程式:給工程師的生物學入門 ✤ https://learngenomics.dev/docs/biological-foundations/cells-genomes-dna-chromosomes/ 本文為工程師與電腦科學家量身打造,將複雜的生物學概念轉化為易於理解的抽象模型。文章從細胞的基本結構出發,將基因組比喻為儲存兩萬多份食譜的「烘焙坊」,透過解析 DNA 的四種鹼基(A、C、T、G)如何組成遺傳指
🌗 什麼物理「生命力」在驅動生物的引擎? ➤ 從演化奇蹟到動力機制:解碼細菌的微型螺旋槳 ✤ https://www.quantamagazine.org/what-physical-life-force-turns-biologys-wheels-20260420/ 細菌鞭毛馬達的研究歷經半個世紀,科學界終於揭開了這套精妙「分子機器」的運作機制。這不僅是演化工程的極致展現,更揭示了生命活動背後的關鍵動力:質子動力勢(Proton Motive Force)。透過這些研究,
🌘 原子級蛋白質濾網:細胞如何精準調控物質進出 ➤ 演化在原子尺度上實現的精巧篩選藝術 ✤ https://press.asimov.com/articles/filters 本文深入探討細胞膜上微觀蛋白質濾網的神奇功能,特別是水通道蛋白(Aquaporin)與鉀離子通道(Potassium Channel)。作者Niko McCarty以淺顯易懂的筆觸,闡述了這些蛋白質如何利用其獨特的胺基酸排列與立體結構,以原子級別的精準度,在一秒內篩選數億計的水分子或離子,同時阻止特定
#分子生物學 across platforms
every network with a public tag surfaceFollow #分子生物學 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/分子生物學