Faheem Younus, MD

Faheem Younus, MD

@FaheemYounus

Sharing pandemic and public health tips. VP/Chief Quality Officer/Chief of Infectious Diseases. University of Maryland UCH. Noise = Blocked

Maryland, USA https://www.linkedin.com/in/faheemyounus Joined 2011-10-12 Date of Analysis: Dec 16, 2025

482,049

Followers

342

Following

5,278

Tweets

3,023.8

Avg Engagement

1,093

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @FaheemYounus'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:2011-10-12
  • Verification:No
  • Location:Maryland, USA

Data Summary

  • Tweets Analyzed:3,184
  • Avg Likes per Tweet:1,633.7
  • Avg Retweets per Tweet:1,390.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,184 tweets

His tweets receive high engagement, with an average of 49,524 likes and 21,096 retweets per tweet. This indicates a strong and active community interested in his content.

1,633.7

Avg Likes/Tweet

1,390.1

Avg Retweets/Tweet

5,201,666

Total Likes

4,426,161

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

349

Median Likes

264

Median Retweets

2,667

75th Percentile

197,461

Top Tweet

6.27

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

48.5%

Original

3.1%

Replies

40.3%

Retweets

8.1%

Quotes

0.0%

Threads

0.2%

With Media

43.0%

With Links

7.8%

With #Tags

42.7%

With @Mentions

2.1%

With Emojis

179

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.06

Reply/Original Ratio

0.2

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

68.7%

Weekday Posts

31.3%

Weekend Posts

Top Hashtags

#covid19 (130) #sarscov2 (12) #omicron (7) #covid (6) #coronavirus (5) #deltavariant (4) #vaccine (4) #1 (4) #mrna (3) #omicronvariant (2)

Most Mentioned

@faheemyounus (79) @erictopol (49) @cdcgov (31) @who (27) @nytimes (27) @scottgottliebmd (26) @angie_rasmussen (21) @aslavitt (18) @cdcdirector (17) @nythealth (16)

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Content Strategy Analysis

Based on 3,184 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,543 (48%)
Replies 100 (3%)
Retweets 1,283 (40%)
Quote Tweets 258 (8%)

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 1,283 retweets (40% 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 3,184 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 individuals interested in public health, medical professionals, and those seeking reliable information on pandemic-related topics. He also engages with Indonesian-speaking followers.

Average

Audience Quality

24.4%

Suspicion Index

28.6%

Low-Quality %

25

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

37.9%

Empty Bio

27.1%

<10 Tweets

9.6%

Mass Following (>2K)

0.0%

New (<90 days)

55.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.7%

No URL

19.2%

<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.

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Follower Reach & Influence

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

28,093,144

Total Potential Reach

25

Median Follower Reach

141

75th Percentile Reach

4.9%

>1K followers

0.6%

>10K followers

0.1%

>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).

53.6%

Creators

26,821 accounts

19.2%

Consumers

9,614 accounts

27.1%

Dormant

13,565 accounts

346

Verified Followers

0.69% of total

6.4%

Professional Bios

founder, dev, analyst, etc.

0.08

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):

Indonesia (858) India (704) New Delhi, India (449) Pakistan (341) Hyderabad, India (287) Mumbai, India (283) Lahore, Pakistan (279) Bengaluru, India (202) Jakarta (198) Islamabad, Pakistan (193)

465

Verified Followers

0.46% of total

21,025

Protected Accounts

21.02% 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
@dsuperboy 7,107,652 Penulis Penulis, Mancing, Novel
@ganjarpranowo 3,260,037 Politician Politics, Public Service, Social Media
@kumailn 3,014,981 Comedian comedy, acting, writing
@VinoGBastian__ 1,922,308 Actor Movies, Acting, Entertainment
@ArieKuntung 1,586,181 Entertainer TV, Entertainment, Family
@joncoopertweets 1,255,106 Political Strategist Politics, Fundraising, Campaigns
@TwitBakani 961,566 Entrepreneur Entrepreneurship, Consulting, Management
@ariffsuyono 905,767 Unknown Islam, Faith, Afterlife
@glennkirschner2 717,960 Legal Analyst Law, Justice, Politics
@yourbae 652,974 Influencer Fashion, Beauty, Lifestyle

Top Keywords in Follower Bios

love (1,982) yang (1,777) life (1,736) student (843) allah (794) lover (776) engineer (755) yg (750) hidup (678) suka (677)

Top Hashtags in Follower Bios

#ynwa (88) #medtwitter (62) #mufc (43) #bitcoin (36) #ggmu (35) #blm (33) #gakfollowporno (32) #resist (26) #nft (22) #freepalestine (19)

63,613

Followers With Bio

36,387

Followers Without Bio

63.61%

% With Bio

36.39%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,184 analyzed

690,940

Combined Engagement

152,851

Total Likes

538,089

Total Retweets

138,188

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

60%

With @Mentions

20%

With Links

Topical Analysis:

Public Health Infectious Diseases Pandemic Information Misinformation Combat Medical Advice

Key Insights & Takeaways

He emphasizes the importance of evidence-based treatments and warns against unproven remedies. He provides clear, actionable guidance for managing symptoms at home. He actively counters misinformation and promotes public health literacy.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 482,049
  • + 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 @FaheemYounus reveals an exceptionally influential Twitter presence with 482,049 followers. The account demonstrates a content-creator strategy, averaging 3,023.8 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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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