#演化遺傳學

Live, measured metrics for the hashtag #演化遺傳學 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #演化遺傳學

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.

$1,129.43/ year · 5-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-26 11:53 UTC
0
08-20
0
08-21
0
08-22
0
08-23
0
08-24
0
08-25
0
08-26

0 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 11:53 UTC

No related tags with measured usage found for #演化遺傳學.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 11:53 UTC

Everything below is measured over the latest 2 public posts (spanning ~4790 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (2)

Avg boosts / post: 0

Top of the latest posts

  • 🌘 里程碑式古基因組研究揭示人類演化出現驚人加速 ➤ 農業革命後的生物劇變:基因組如何記錄人類適應歷程 ✤ https://www.nature.com/articles/d41586-026-01204-5 近期發表於《自然》期刊的重磅研究指出,人類演化在過去一萬年間出現了顯著加速。哈佛醫學院的研究團隊透過分析超過 15,000 個西亞與歐洲地區古人類的基因組數據,精確鑑定出數百個受到自然選擇影響的基因變體。這些基因與免疫系統、皮膚色素沉著及行為特徵密切相關,顯示人類在農

    GripNews@[email protected]002026-04-17 23:18 UTCView post →
  • 🌗 人類第二對染色體何時融合? ➤ 追溯人類染色體融合的演化印記 ✤ https://www.johnhawks.net/p/when-did-human-chromosome-2-fuse 科學家們透過分析人類染色體2的特徵,推測此一關鍵性的融合事件發生於約一百萬年前,當時的祖先同時也是尼安德塔人、丹尼索瓦人及非洲古人類的共同祖先。此融合事件被認為可能影響了人類演化歷程,甚至促進了物種分化。研究藉由觀察染色體上殘存的非功能性著絲點及端粒序列,結合古基因組資料,精準推定融合

    GripNews@[email protected]002025-09-30 09:21 UTCView post →

#演化遺傳學 across platforms

every network with a public tag surface

Follow #演化遺傳學 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/演化遺傳學