Michael Okun
National Medical Advisor @parkinsondotorg Author 14 books https://parkinsonsecrets.com/ blog Professor @UF @fixelinstitute Associate Editor @JAMANeuro @DBSThinkTank
33,400
Followers
3,765
Following
14,653
Tweets
66.8
Avg Engagement
160
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MichaelOkun'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:2013-07-02
- Verification:No
- Location:Gainesville, FL
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:13.5
- Avg Retweets per Tweet:53.3
- Followers Analyzed:22,621
Engagement Analysis
Based on 500 tweetsHis tweets typically receive moderate engagement, with an average of 111 likes and 28 retweets. The content often sparks discussion, especially around complex medical topics.
13.5
Avg Likes/Tweet
53.3
Avg Retweets/Tweet
6,773
Total Likes
26,632
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
5
Median Retweets
35
75th Percentile
4,856
Top Tweet
2.0
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
49.2%
Original
2.4%
Replies
41.2%
Retweets
7.2%
Quotes
0.0%
Threads
0.0%
With Media
59.0%
With Links
29.8%
With #Tags
70.8%
With @Mentions
1.6%
With Emojis
215
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 206 retweets (41% 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 500 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 22,621 followersHis audience includes medical professionals, patients, and the general public interested in neurological health. The content is tailored to be educational and engaging for both laypeople and experts.
Good
Audience Quality
17.9%
Suspicion Index
16.9%
Low-Quality %
141
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.1%
Empty Bio
15.8%
<10 Tweets
20.5%
Mass Following (>2K)
0.0%
New (<90 days)
30.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.1%
No URL
9.7%
<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.
67,154,745
Total Potential Reach
141
Median Follower Reach
480
75th Percentile Reach
13.8%
>1K followers
2.3%
>10K followers
0.9%
>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).
63.7%
Creators
14,410 accounts
20.5%
Consumers
4,642 accounts
15.8%
Dormant
3,569 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):
350
Verified Followers
1.55% of total
1,976
Protected Accounts
8.74% 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 |
|---|---|---|---|
| @SiriouslySusan | 1,778,372 | Voice Actor | Voice acting, singing, speaking |
| @MurrayNewlands | 1,520,902 | Contributor | pop art, art, entrepreneurship |
| @CynthiaLIVE | 1,426,105 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @SinghLions | 1,335,681 | Restaurateur | Food, Travel, Influencer |
| @LollyDaskal | 1,233,962 | Leadership Expert | - |
| @greggrunberg | 1,192,070 | Actor | ACTOR, WRITER, BANDS |
| @JackPhan | 1,113,140 | Entrepreneur | Visionary, Startup Entrepreneur, AdobeInsider |
| @AskAaronLee | 1,004,393 | Regional Manager | Social media, Cappuccino, Introvert |
| @iPragmatico | 973,340 | Influencer | Rock, Twitter, Amor |
| @machavelli7 | 931,316 | Author | Philosophy, History, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
17,170
Followers With Bio
5,451
Followers Without Bio
75.9%
% With Bio
24.1%
% 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 500 analyzed14,595
Combined Engagement
0
Total Likes
14,595
Total Retweets
2,919
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @MAstronomers: The Earth is almost never shown like this, and in the meantime, this is our planet from the side of the Pacific Ocean 🌊.…
RT @NobelPrize: Happy International Women's Day! We're celebrating women who have changed the world. Here's all of the amazing women who h…
RT @AdamMGrant: Blaming and shaming doesn't stop people from making mistakes. It stops them from admitting mistakes. If people can't share…
RT @AdamMGrant: Balance rarely comes from increasing efficiency. It usually involves reducing responsibilities. The more priorities we hav…
RT @AdamMGrant: We shouldn't listen to people because we agree with what they think. We should listen when we're impressed by how they thin…
Key Insights & Takeaways
He frequently addresses confusion between medical terms like delirium and dementia, highlighting the importance of accurate terminology. He raises awareness about brain tumors, particularly glioblastoma, and its prevalence. He emphasizes the need for public understanding of neurological conditions and their implications.
Strengths
- + Established follower base of 33,400
- + 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 @MichaelOkun reveals an growing Twitter presence with 33,400 followers. The account demonstrates a content-creator strategy, averaging 66.8 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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