Cleavon MD 💉 💉 💉

Cleavon MD 💉 💉 💉

@Cleavon_MD

Emergency Medicine Doctor & Iraq War veteran on the frontlines of the pandemic interested in global health crises. #SoulsLostToCovid

USA Joined 2018-01-18 Date of Analysis: Dec 16, 2025

149,806

Followers

3,200

Following

20,322

Tweets

2,250.6

Avg Engagement

1,362

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Cleavon_MD'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:2018-01-18
  • Verification:No
  • Location:USA

Data Summary

  • Tweets Analyzed:3,145
  • Avg Likes per Tweet:77.0
  • Avg Retweets per Tweet:2,173.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,145 tweets

Cleavon_MD's tweets consistently receive high engagement, with an average of 10,343 likes and 2,614 retweets per post. This indicates a strong and active community interested in his medical and pandemic-related updates.

77.0

Avg Likes/Tweet

2,173.6

Avg Retweets/Tweet

242,246

Total Likes

6,835,966

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

114

Median Retweets

1,005

75th Percentile

140,325

Top Tweet

15.02

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

7.4%

Original

19.3%

Replies

72.7%

Retweets

0.5%

Quotes

0.0%

Threads

0.6%

With Media

26.3%

With Links

28.4%

With #Tags

79.7%

With @Mentions

14.2%

With Emojis

144

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.61

Reply/Original Ratio

0.01

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

59.6%

Weekday Posts

40.4%

Weekend Posts

Top Hashtags

#soulslosttocovid (140) #kidslivingwithcovid (109) #brazil (53) #covid19 (45) #ukraine (45) #pediatricsoulslosttocovid (40) #misc (40) #matchday2022 (35) #texas (28) #longcovid (26)

Most Mentioned

@cleavon_md (538) @losttocovid (62) @potus (55) @mvankerkhove (48) @sbernsteinmd (38) @bnodesk (36) @erictopol (35) @iaponomarenko (32) @who (28) @kyivindependent (26)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,145 tweets

Content Type Distribution

Content Breakdown

Original Tweets 233 (7%)
Replies 608 (19%)
Retweets 2,287 (73%)
Quote Tweets 17 (1%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 2,287 retweets (73% 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 3,145 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

His audience primarily consists of healthcare professionals, public health enthusiasts, and individuals interested in global health issues. The content appeals to those seeking reliable, frontline perspectives on pandemic challenges.

Average

Audience Quality

20.3%

Suspicion Index

17.2%

Low-Quality %

184

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

28.7%

Empty Bio

9.2%

<10 Tweets

31.4%

Mass Following (>2K)

0.0%

New (<90 days)

35.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

85.8%

No URL

5.7%

<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 Detector

Follower Reach & Influence

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

137,509,975

Total Potential Reach

184

Median Follower Reach

748

75th Percentile Reach

20.8%

>1K followers

2.6%

>10K followers

0.6%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

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

80.5%

Creators

40,244 accounts

10.3%

Consumers

5,175 accounts

9.2%

Dormant

4,581 accounts

430

Verified Followers

0.86% of total

10.5%

Professional Bios

founder, dev, analyst, etc.

0.18

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):

United States (1,021) California, USA (387) USA (351) Los Angeles, CA (305) New York, NY (255) Florida, USA (252) Washington, DC (247) Texas, USA (226) Chicago, IL (224) New York, USA (205)

724

Verified Followers

0.72% of total

12,336

Protected Accounts

12.21% of total

9 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 14,101,236 Wrestler Wrestling, Motivation, Self-promotion
@MarkRuffalo 8,331,760 Actor climate justice, actor, director
@JimGaffigan 3,103,497 Comedian Comedy, Touring, Family
@ChelseaClinton 2,836,914 Advocate Advocate, Author, Teacher
@drdrew 2,646,109 Medical Professional Medicine, Addiction, TV
@ava 2,625,525 - -
@LarryMadowo 2,461,252 Journalist Journalism, Travel, Humor
@aproko_doctor 2,133,423 Doctor Health, Education, Entertainment
@kathygriffin 2,022,431 Comedian Comedy, Awards, Author
@RepSwalwell 1,505,056 Politician Politics, Family, California

Top Keywords in Follower Bios

mom (5,450) love (4,248) lover (3,718) sheher (3,342) wife (2,985) life (2,882) blm (2,718) proud (2,607) health (2,179) retired (2,177)

Top Hashtags in Follower Bios

#blm (1,964) #resist (1,781) #blacklivesmatter (834) #voteblue (672) #fbr (511) #resistance (356) #theresistance (347) #resister (338) #bidenharris (324) #lgbtq (277)

71,464

Followers With Bio

29,529

Followers Without Bio

70.76%

% With Bio

29.24%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,145 analyzed

619,158

Combined Engagement

0

Total Likes

619,158

Total Retweets

123,832

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Pandemic Response Global Health Crises Frontline Medical Experience Public Health Awareness Personal Stories Vaccine And Mask Efficacy

Key Insights & Takeaways

He emphasizes the importance of masks in preventing infection and vaccines in reducing hospitalization. He highlights the personal impact of the pandemic through real-life stories, such as Dr. Li Wenliang and Chris Leben. He advocates for continued caution, noting that Omicron remains a deadly virus.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 149,806
  • + High community engagement through conversations
  • + 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 @Cleavon_MD reveals an exceptionally influential Twitter presence with 149,806 followers. The account demonstrates a conversation-first approach, averaging 2,250.6 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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: Dec 16, 2025