Dr. Vin Gupta
Lung MD | Faculty @IHME_UW | Maj @USAirForce #CCATT | Analyst @NBCNews @MSNBC | CMO, @Amazon Pharmacy | @CFR_org @CenterEnvHealth | views me
115,148
Followers
500
Following
6,628
Tweets
1,176.5
Avg Engagement
783
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VinGuptaMD'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:2014-11-02
- Verification:No
- Location:Seattle
Data Summary
- Tweets Analyzed:3,189
- Avg Likes per Tweet:312.0
- Avg Retweets per Tweet:864.6
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,189 tweetsHis tweets receive high engagement, averaging 43,179 likes and 10,288 retweets, indicating strong public interest in his content. The verified user base of 1.1% suggests a mix of personal and professional followers.
312.0
Avg Likes/Tweet
864.6
Avg Retweets/Tweet
994,841
Total Likes
2,757,072
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
17
Median Retweets
298
75th Percentile
308,691
Top Tweet
10.22
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
12.8%
Original
34.3%
Replies
47.5%
Retweets
5.4%
Quotes
0.0%
Threads
0.1%
With Media
50.0%
With Links
15.5%
With #Tags
89.8%
With @Mentions
18.0%
With Emojis
193
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.68
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,189 tweetsContent Type Distribution
Content Breakdown
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 1,514 retweets (47% 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 3,189 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 10,999 followersHis audience includes healthcare professionals, policymakers, and media consumers interested in public health and political commentary. The audience is also engaged with current events and health policy discussions.
Average
Audience Quality
26.0%
Suspicion Index
23.4%
Low-Quality %
112
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.4%
Empty Bio
16.3%
<10 Tweets
33.6%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
10.3%
<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.
36,001,605
Total Potential Reach
112
Median Follower Reach
519
75th Percentile Reach
16.2%
>1K followers
2.0%
>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).
68.9%
Creators
7,579 accounts
14.8%
Consumers
1,630 accounts
16.3%
Dormant
1,790 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):
123
Verified Followers
1.12% of total
1,140
Protected Accounts
10.36% 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 |
|---|---|---|---|
| @JohnCena | 14,093,768 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mehdirhasan | 1,301,336 | Host | Politics, News, Journalism |
| @LeBronJames | 1,004,372 | - | - |
| @SRuhle | 809,619 | Journalist | Mom, News, Podcast |
| @NOH8Campaign | 799,072 | Activism | equality, bullying, discrimination |
| @MuellerSheWrote | 657,363 | Podcaster | Trump/Russia, Podcasting, #BLM |
| @samstein | 494,916 | Journalist | Politics, Journalism, News |
| @DearAuntCrabby | 460,603 | - | - |
| @KFILE | 430,091 | Reporter | CNN, Childhood Cancer, TeamBeansFund |
| @zammit_marc | 386,604 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,990
Followers With Bio
4,009
Followers Without Bio
63.55%
% With Bio
36.45%
% 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 $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,189 analyzed833,430
Combined Engagement
90,247
Total Likes
743,183
Total Retweets
166,686
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @foofighters: https://t.co/ffPHhUKRT4
RT @TheAmandaGorman: It takes a monster to kill children. But to watch monsters kill children again and again and do nothing isn’t just insanity—it’s inhumanity.
Quickly getting access to monoclonal antibody therapy when you’re the fully vaccinated, asymptomatic Governor of Texas shows just how anxious and scared @GregAbbott_TX actually is of a virus that he constantly downplays. Hope Texans take note.
RT @HamlinIsland: Putting love into the world comes back 3xs as much… thankful for everyone who has reached out and prayed. This will make me stronger on the road to recovery, keep praying for me! 🫶🏾3️⃣
Key Insights & Takeaways
He frequently shares personal reflections on public health issues and media coverage. He highlights his professional roles and affiliations, emphasizing his credibility. He engages with media and public figures, indicating a strategic approach to influence and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 115,148
- + 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 @VinGuptaMD reveals an exceptionally influential Twitter presence with 115,148 followers. The account demonstrates a conversation-first approach, averaging 1,176.5 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