Basel 𝕏 🖇️
Web2 Doctor (@thelancet Published), Neuro/Internal Medicine 🩺. @Yale Candidate 🏫. Web3. Piano 🎹 . Generative Art Experimentalist 🖼️. BD @ParaX_AI
21,253
Followers
5,144
Following
20,236
Tweets
100
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bassel_amin'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:2013-10-18
- Verification:No
- Location:Germany
Data Summary
- Followers Analyzed:21,181
- Following Analyzed:5,001
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Audience Demographics
Based on 21,181 followersHis followers likely include medical professionals, tech enthusiasts, and art lovers interested in interdisciplinary work. The audience may also be drawn to his academic and professional background.
Good
Audience Quality
13.6%
Suspicion Index
7.5%
Low-Quality %
501
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
12.3%
Empty Bio
4.5%
<10 Tweets
34.4%
Mass Following (>2K)
0.0%
New (<90 days)
12.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
62.1%
No URL
2.8%
<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.
109,382,523
Total Potential Reach
501
Median Follower Reach
1,852
75th Percentile Reach
36.9%
>1K followers
6.1%
>10K followers
1.2%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
86.6%
Creators
18,340 accounts
8.9%
Consumers
1,888 accounts
4.5%
Dormant
953 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):
2,949
Verified Followers
13.92% of total
1,238
Protected Accounts
5.84% of total
4 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 | 14,155,030 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SirKunt | 2,289,011 | - | - |
| @ArnoldPoernomo | 2,243,890 | Chef | NFTs, Food, Cooking |
| @allyier | 1,785,192 | - | - |
| @DiwaPh | 1,252,576 | Translator | Translation, Pandemic, Crypto4Good |
| @JDaIey | 1,248,549 | - | - |
| @TheBinanceNFT | 1,052,691 | - | - |
| @EdKrassen | 998,406 | Journalist | Politics, Journalism, Author |
| @Karijelinek | 976,050 | Modelo | Modelo, Actriz, Influencers |
| @MarioNawfal | 914,764 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
18,586
Followers With Bio
2,597
Followers Without Bio
87.74%
% With Bio
12.26%
% 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 $15Network & Following Analysis
Based on 5,001 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
45.0%
Verified Accounts
12.2%
High Authority (>50K)
100.0%
Dormant Accounts
4.3%
Low Quality
5,199
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
85.7%
Individuals
4,288 accounts
7.8%
Brands/Orgs
392 accounts
6.4%
Media/News
321 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,993,103 | Entrepreneur | Space, Technology, Innovation |
| @justinbieber Justin Bieber | 111,758,702 | Singer | Music, Justice, Album |
| @realDonaldTrump Donald J. Trump | 87,256,410 | - | - |
| @ladygaga Lady Gaga | 83,959,311 | Singer | music, fashion, movies |
| @YouTube YouTube | 79,172,599 | Content Creator | Entertainment, Technology, Social media |
| @KimKardashian Kim Kardashian | 75,119,182 | Entrepreneur | Fragrance, Skims, Beauty |
| @X X | 66,566,833 | Social Media Manager | - |
| @britneyspears Britney Spears 🌹🚀 | 55,152,545 | Singer | Music, Dance, Fashion |
| @KingJames LeBron James | 52,709,213 | Athlete | Basketball, Family, Philanthropy |
| @jimmyfallon Jimmy Fallon | 50,266,269 | Comedian | Comedy, TV, Music |
Key Insights & Takeaways
He positions himself as a bridge between traditional medicine and emerging technologies like Web3. His diverse interests in art, music, and AI suggest a focus on creativity and innovation. He may be targeting an audience interested in both healthcare and digital transformation.
Strengths
- + Established follower base of 21,253
- + 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 @bassel_amin reveals an growing Twitter presence with 21,253 followers. The account demonstrates a content-creator strategy, averaging 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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