Scientific American
Awesome discoveries. Expert insights. Science that shapes the world.
4,303,401
Followers
835
Following
74,131
Tweets
101.3
Avg Engagement
28,865
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sciam'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: Mega Influencer (1M+)
- Account Age:2008-05-04
- Verification:No
- Location:New York City
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:73.6
- Avg Retweets per Tweet:27.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsTweets typically receive high engagement with average likes and retweets, indicating strong audience interaction and interest.
73.6
Avg Likes/Tweet
27.6
Avg Retweets/Tweet
239,313
Total Likes
89,798
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
54
Median Likes
19
Median Retweets
113
75th Percentile
4,778
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
87.8%
Original
3.6%
Replies
8.3%
Retweets
0.3%
Quotes
0.0%
Threads
0.3%
With Media
91.2%
With Links
2.8%
With #Tags
16.7%
With @Mentions
4.2%
With Emojis
157
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
83.0%
Weekday Posts
17.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 269 retweets (8% 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 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 50,000 followersThe primary audience includes science enthusiasts, educators, and the general public interested in cutting-edge research.
Below Average
Audience Quality
41.3%
Suspicion Index
63.6%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.5%
Empty Bio
69.9%
<10 Tweets
3.0%
Mass Following (>2K)
0.0%
New (<90 days)
77.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
58.7%
<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.
9,222,179
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
1.6%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
15.1%
Creators
7,558 accounts
15.0%
Consumers
7,476 accounts
69.9%
Dormant
34,966 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):
793
Verified Followers
0.79% of total
7,591
Protected Accounts
7.52% of total
2 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 |
|---|---|---|---|
| @aguilarcamin | 795,113 | Writer | Literatura, historia, periodismo |
| @Matt_VanDyke | 505,876 | Founder | veterans, training, supplies |
| @WarrenWhitlock | 479,115 | Entrepreneur | blockchain, AI, digitalmarketing |
| @alexandrabotez | 459,875 | Chess Streamer | Chess, Variety, Streaming |
| @fahadalahmdi | 440,596 | Writer | writing, author, books |
| @Moreno | 430,227 | Influencer | Business, Manager, Serious |
| @GastonTrezeguet | 373,225 | Explorer | Nature, Adventure, Exploration |
| @peterndoro | 357,455 | Journalist | Journalism, Broadcasting, Africa |
| @LBB172 | 267,735 | Performer | Gaming, Dance, Performance |
| @jcrasnick | 208,713 | Baseball Writer | Baseball, Media, MLBPA |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,031
Followers With Bio
67,963
Followers Without Bio
32.71%
% With Bio
67.29%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed13,860
Combined Engagement
9,428
Total Likes
4,432
Total Retweets
2,772
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
This is the picture we’ve all been waiting for—the deepest image of the cosmos ever captured. Billions of dollars and lifetimes of work have brought us to this historic moment. Watch our short doc on #JWST, the most powerful space telescope ever made: https://t.co/hK5oOhE0kf ht
The Big Bang happened 13.8 billion years ago. Hubble sees back to roughly 13.5 billion years. #JWST was designed to peer into a part of the universe we've never seen before—when the first galaxies came to existence, the first stars came into life, the first black holes appeared.
Researchers observed bumble bees rolling wooden balls for seemingly no other reason than fun https://t.co/8w1Yff5HIU https://t.co/iMGrGIBYFk
RT @tanyalewis314: Well, it happened. After nearly three years of covering COVID and thinking about it almost constantly, it finally got me…
Here's what makes a mask as protective as possible against COVID, flu, RSV, and other airborne diseases. https://t.co/vP6U23iwHn
Key Insights & Takeaways
The account highlights major scientific milestones like the James Webb Space Telescope's deep space images. It shares expert insights on topics such as the Big Bang and cosmic history. It also covers unique scientific behaviors, like bumble bees rolling wooden balls for fun.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 4,303,401
- + 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 @sciam reveals an well-established Twitter presence with 4,303,401 followers. The account demonstrates a content-creator strategy, averaging 101.3 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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