かはく【国立科学博物館公式】

かはく【国立科学博物館公式】

@museum_kahaku

国立科学博物館の公式アカウントです。上野本館、筑波実験植物園、附属自然教育園の情報や関連イベントなど発信していきます。※返信は行っておりませんので御理解ください。ソーシャルメディアポリシーhttps://www.kahaku.go.jp/socialmedia.html #かはく #かはくファン

Taito-ku, Tokyo https://www.kahaku.go.jp/ Joined 2019-05-09 Date of Analysis: 12月 16, 2025

103,118

Followers

22

Following

3,749

Tweets

325.2

Avg Engagement

1,950

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @museum_kahaku's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2019-05-09
  • Verification:No
  • Location:Taito-ku, Tokyo

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:216.7
  • Avg Retweets per Tweet:108.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account has a high average number of likes and retweets, indicating strong audience interaction. The content is often shared and appreciated for its educational and engaging nature.

216.7

Avg Likes/Tweet

108.5

Avg Retweets/Tweet

704,205

Total Likes

352,649

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

107

Median Likes

34

Median Retweets

268

75th Percentile

83,470

Top Tweet

3.15

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

67.6%

Original

16.5%

Replies

5.1%

Retweets

10.8%

Quotes

0.0%

Threads

0.0%

With Media

93.4%

With Links

75.9%

With #Tags

7.7%

With @Mentions

87.9%

With Emojis

165

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.24

Reply/Original Ratio

2.11

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

76.6%

Weekday Posts

23.4%

Weekend Posts

Top Hashtags

#かはく (828) #国立科学博物館 (653) #かはくファン (395) #上野のかはく (303) #筑波実験植物園 (200) #かはく研究者 (185) #附属自然教育園 (171) #かはくチャンネル (118) #ポケモン化石博物館 (73) #国立公園展 (68)

Most Mentioned

@dinoexpo2019 (30) @ys11project (28) @miira2019 (21) @museum_kahaku (16) @opam_opam (9) @doku_ten (9) @koukaiprj (9) @jamstec_pr (6) @mikasa_shi_haku (6) @plants_nakama (6)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,198 (68%)
Replies 535 (16%)
Retweets 166 (5%)
Quote Tweets 351 (11%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 166 retweets (5% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,250 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

The primary audience is likely science enthusiasts, students, and families interested in educational content. The account also appeals to fans of popular culture and virtual experiences.

Good

Audience Quality

19.3%

Suspicion Index

23.1%

Low-Quality %

35

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

30.6%

Empty Bio

21.1%

<10 Tweets

7.7%

Mass Following (>2K)

0.0%

New (<90 days)

44.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.0%

No URL

15.6%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

43,321,749

Total Potential Reach

35

Median Follower Reach

178

75th Percentile Reach

5.1%

>1K followers

0.5%

>10K followers

0.1%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

65.0%

Creators

32,482 accounts

14.0%

Consumers

6,979 accounts

21.1%

Dormant

10,539 accounts

52

Verified Followers

0.1% of total

0.6%

Professional Bios

founder, dev, analyst, etc.

0.13

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

日本 (1,221) Japan (535) 東京 (530) 日本 東京 (515) 東京都 (380) Tokyo (296) Tokyo-to, Japan (230) 関東 (117) 神奈川県 (111) tokyo (100)

82

Verified Followers

0.1% of total

20,255

Protected Accounts

25.09% of total

7 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@JohnCena 14,106,698 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,229 - -
@konotarogomame 2,682,269 Politician Politics, Soccer, Marathon
@shishirobotan 941,128 Gamer Gaming, White Lion, DreamHack
@takeshi_tsuruno 656,091 Singer music, singing, art
@TokyoZooNet_PR 449,431 Zookeeper Animals, Zoos, Conservation
@nauru_japan 446,381 Tourism tourism, government, promotion
@kadokawa_san 410,069 Book Blogger Books, Movies, Animals
@zammit_marc 388,208 Filmmaker Film, Acting, Producing
@MuseumWeek 230,826 Cultural Event art, culture, heritage

Top Keywords in Follower Bios

rt (870) twitter (769) love (418) dm (391) rom (322) b (272) fgo (261) youtube (252) japan (243) web (217)

Top Hashtags in Follower Bios

#ハ (73) #ホ (60) #フ (59) #カ (37) #テ (36) #ヒ (32) #シ (28) #ト (24) #博物館 (24) #読書 (23)

58,810

Followers With Bio

21,907

Followers Without Bio

72.86%

% With Bio

27.14%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

143,036

Combined Engagement

78,941

Total Likes

64,095

Total Retweets

28,607

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

20%

With @Mentions

100%

With Links

Topical Analysis:

Science Education Nature Technology Virtual Reality Popular Culture
かはく【国立科学博物館公式】
@museum_kahaku

【速報✨ #火球 が隕石であることを確認‼️】 7月2日未明に各地で観測された火球(の一部)は #国立科学博物館 が分析し、隕石であることを確認💡 千葉県習志野市に落ちた隕石は2つに分かれていますがキレイに合わさる部分があるので1つの隕石が割れたものであると考えられます!! #かはく https://t.co/vE6HPFcxo7

2020-07-13
Retweets: 32,345 Likes: 51,125 Engagement: 83,470
かはく【国立科学博物館公式】
@museum_kahaku

【3Dビュー+VR映像を無料公開🎊✨】 一般財団法人VR革新機構さまご協力のもと、展示室を高画質画像で撮影いたしました👏✨4月24日0時から公開です! 3Dビューの映像を一足お先にお見せします😆 どうぞ #おうちでかはく をお楽しみください❣️ https://t.co/wlIGSKbK5t #かはくVR #おうちミュージアム https://t.co/7i5eNb6B8m

2020-04-23
Retweets: 9,627 Likes: 14,939 Engagement: 24,566
かはく【国立科学博物館公式】
@museum_kahaku

あつまれ動物の森✖️国立科学博物館 #かはく に似ていると話題の #あつ森 の博物館について 地学研究部の對比地研究主幹と木村研究員がインタビューを受け、 本気で語りました! 職員が見ても非常に面白い記事でした!ぜひご覧ください! #国立科学博物館 https://t.co/vuUDPKSpge

2020-05-16
Retweets: 6,738 Likes: 7,922 Engagement: 14,660
かはく【国立科学博物館公式】
@museum_kahaku

RT @Pokemon_cojp: 巡回展示「ポケモン化石博物館」が、開催決定! 順次、日本全国を巡回していく予定だよ。 まずは7月4日(日)に、北海道の三笠市立博物館からはじまるよ! ピカチュウといっしょに、化石にくわしくなろう! くわしくはこちら! https://t.co/etLFfVKURQ #ポケモン化石博物館 https://t.co/yjivbeli09

2021-04-20
Retweets: 10,744 Likes: 0 Engagement: 10,744
かはく【国立科学博物館公式】
@museum_kahaku

【当館、「圧倒的博物館」です!】 帝愛の班長さんでなくてもお疲れの皆さん、リフレッシュに #かはく はいかがですか😎 本日発売の週刊ヤングマガジン「一日外出録 #ハンチョウ」は、かはくが舞台! 丁寧に取材して頂き、有難うございました! 取材力が凄い…! #かはくファン #ヤングマガジン https://t.co/Oxi0EpMQkf

2019-07-13
Retweets: 4,641 Likes: 4,955 Engagement: 9,596

Key Insights & Takeaways

The account frequently shares scientific discoveries and updates on meteorites, which generates significant interest and engagement. It collaborates with popular media and technology, such as VR, to create interactive and accessible content. The use of hashtags and multimedia links helps drive traffic and increase visibility of its posts.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 103,118
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @museum_kahaku reveals an well-established Twitter presence with 103,118 followers. The account demonstrates a content-creator strategy, averaging 325.2 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: 12月 16, 2025