日本科学未来館
東京・お台場にある国立の科学館。一人ひとりが未来を思い描き、体験し、つくりだすミュージアムへ。イベント情報などをお知らせします！ ※個別の質問・リプライには対応しておりません。ご了承ください。 運営ポリシー https://t.co/mXJ7GGJ2k3…
92,966
Followers
20,156
Following
9,135
Tweets
104.7
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @miraikan'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: Mid-Tier (10K+)
- Account Age:2010-06-07
- Verification:No
- Location:東京・お台場
Data Summary
- Tweets Analyzed:3,212
- Avg Likes per Tweet:72.7
- Avg Retweets per Tweet:32.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,212 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and visual content enhances engagement and reach.
72.7
Avg Likes/Tweet
32.0
Avg Retweets/Tweet
233,399
Total Likes
102,762
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
32
Median Likes
13
Median Retweets
88
75th Percentile
49,689
Top Tweet
1.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
82.0%
Original
4.9%
Replies
4.9%
Retweets
8.1%
Quotes
0.0%
Threads
0.0%
With Media
96.7%
With Links
62.4%
With #Tags
7.0%
With @Mentions
16.6%
With Emojis
149
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
1.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,212 tweetsContent Type Distribution
Content Breakdown
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 158 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 3,212 tweetsEngagement 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 10,000 followersThe primary audience includes science enthusiasts, educators, and visitors interested in science and technology. The content is also appealing to families and students looking for educational and interactive experiences.
Average
Audience Quality
20.7%
Suspicion Index
22.8%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.0%
Empty Bio
21.1%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
44.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.8%
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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
7,872,216
Total Potential Reach
52
Median Follower Reach
247
75th Percentile Reach
7.4%
>1K followers
0.8%
>10K followers
0.2%
>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).
64.2%
Creators
6,420 accounts
14.7%
Consumers
1,466 accounts
21.1%
Dormant
2,114 accounts
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):
80
Verified Followers
0.8% of total
2,171
Protected Accounts
21.71% of total
6 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 |
|---|---|---|---|
| @ndahoFischers | 1,468,962 | YouTuber | music, comedy, family |
| @mollyfantasy_of | 467,223 | Entertainment | Amusement, Fantasy, Updates |
| @Sugai_Shunki | 257,697 | Academic | QuizKnock, Academia, Media |
| @MuseumWeek | 230,424 | Cultural Event | art, culture, heritage |
| @masu_asari | 212,353 | Academic | Education, Academia, Hobbies |
| @ShinKoyamada | 189,224 | Actor | Actor, Producer, CEO |
| @oggi_jp | 167,801 | Fashion Editor | Fashion, Beauty, Women's empowerment |
| @hst_tvasahi | 161,990 | News Reporter | News, Sports, Television |
| @omesis_ray | 131,349 | YouTuber | gaming, virtual reality, twins |
| @ISAS_JAXA | 129,913 | Space Research | Space science, Research, Communication |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,005
Followers With Bio
2,995
Followers Without Bio
70.05%
% With Bio
29.95%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,212 analyzed69,356
Combined Engagement
52,991
Total Likes
16,365
Total Retweets
13,871
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
#未来館 の屋上から、世紀の瞬間が撮れました✨ 晴れて良かったー😭（本間） #皆既月食 #天王星食 https://t.co/APwkeECEWD
＼ #部分月食 観測できました~！／ 写真は17:50頃に #未来館 の屋上で、科学コミュニケーター本間が撮影したものです。 月食に向けて、今週ずっとソワソワしていた本間。 この後も、心ゆくまで月食を堪能するそうです。(笑) https://t.co/gi8MdeQF4T
＼#皆既月食 ダイジェスト作りました／ 昨晩の興奮をもう一度！月食の始まりから終わりまでの約4時間を、ギュッとまとめました！ 影が動いているように見えますが、動いているのは月。 天王星が月の左側から移動して隠れる様子もお楽しみください😊 （色の見え方はカメラの設定によるものです） https://t.co/xQbqx7qra9
ついに300万回再生をこえました！ この、お姉さんの執念がなんともクセになります… 「フカシギの数え方」おねえさんといっしょ！みんなで数えてみよう！ https://t.co/3XPmHVoSIe https://t.co/N6iWk08G8y
『咳をした時、マスクの有無で飛沫の飛び方はどう変わる』 スーパーコンピュータ #富岳 を使ったシミュレーション結果を、#未来館 オリジナルで可視化しました。 マスクには飛沫の広がりを抑える効果があるものの、すべてを抑えられるわけではありません。ですから、距離や咳エチケットも大事です。 https://t.co/UZ5o4l1s3a
Key Insights & Takeaways
The account focuses on creating visually appealing and educational content that highlights scientific events and observations. It leverages real-time events, such as lunar eclipses, to generate excitement and engagement. The use of multimedia, including photos and videos, helps to convey complex scientific concepts in an accessible way.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 92,966
- + 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 @miraikan reveals an well-established Twitter presence with 92,966 followers. The account demonstrates a content-creator strategy, averaging 104.7 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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