Jeremy Faust MD MS (ER physician)
⚕️Health Policy/Public Health https://insidemedicine.substack.com/ @BrighamWomens @HarvardMed @foampodcast. Editor: @medpagetoday. Director: @longwoodchorus
100,112
Followers
2,886
Following
43,864
Tweets
433.3
Avg Engagement
1,656
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jeremyfaust'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:2009-04-25
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:26.7
- Avg Retweets per Tweet:406.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,245 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement rate reflects his credibility and relevance in the health policy space.
26.7
Avg Likes/Tweet
406.6
Avg Retweets/Tweet
86,618
Total Likes
1,319,406
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
36
75th Percentile
250,983
Top Tweet
4.33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
30.9%
Original
40.7%
Replies
23.8%
Retweets
4.5%
Quotes
0.0%
Threads
0.3%
With Media
51.6%
With Links
7.2%
With #Tags
63.1%
With @Mentions
7.1%
With Emojis
147
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.32
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 773 retweets (24% 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 3,245 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 10,000 followersHis audience includes healthcare professionals, public health advocates, and general followers interested in health policy. The engagement with high-profile accounts suggests a broad and influential reach.
Average
Audience Quality
24.2%
Suspicion Index
22.1%
Low-Quality %
115
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.8%
Empty Bio
19.5%
<10 Tweets
28.4%
Mass Following (>2K)
0.0%
New (<90 days)
44.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.2%
No URL
12.4%
<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.
30,596,417
Total Potential Reach
115
Median Follower Reach
455
75th Percentile Reach
14.2%
>1K followers
2.2%
>10K followers
0.5%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.5%
Creators
6,252 accounts
18.0%
Consumers
1,800 accounts
19.5%
Dormant
1,948 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):
194
Verified Followers
1.94% of total
1,108
Protected Accounts
11.08% of total
6 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 | 14,093,038 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AdamMGrant | 803,277 | Organizational psychologist | Organizational psychology, Author, Diver |
| @Glinner | 550,787 | Writer | Comedy, Feminism, Activism |
| @DennisKoutoudis | 536,282 | - | - |
| @THE_THEO_FORD | 472,589 | - | - |
| @MiaFarrow | 468,801 | - | - |
| @MarioNawfal | 466,976 | - | - |
| @juliaioffe | 407,736 | Journalist | Politics, Journalism, Washington |
| @esenol | 403,232 | Professor | Medicine, Infectious Diseases, Family |
| @PeterHotez | 334,726 | Vaccine Scientist | Vaccine, Antiscience, Pediatrics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,823
Followers With Bio
3,177
Followers Without Bio
68.23%
% With Bio
31.77%
% 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 $15Viral Tweets
Top 5 by likes+RTs from 3,245 analyzed562,655
Combined Engagement
0
Total Likes
562,655
Total Retweets
112,531
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
RT @NASA: It's here–the deepest, sharpest infrared view of the universe to date: Webb's First Deep Field. Previewed by @POTUS on July 11, it shows galaxies once invisible to us. The full set of @NASAWebb's first full-color images & data will be revealed July 12: https://t.co
RT @HamlinIsland: GAMETIME!!! @BuffaloBills 💙 https://t.co/PQYClonUHb
RT @BarackObama: This nation was built on peaceful protest. No elected official should lose their job simply for raising their voice – especially when they’re doing it on behalf of our children.
RT @G_S_Bhogal: Nicholas Winton helped 669 Jewish children escape the Nazis. His efforts went unrecognized for 50 years. Then in 1988, while sitting as a member of a TV audience, he suddenly found himself surrounded by the kids he’d rescued, now adults. I like to remember this e
Key Insights & Takeaways
His top tweets often focus on breaking public health news and policy changes, emphasizing the importance of updated guidelines. He frequently engages with both experts and public figures, which helps amplify his message. He highlights the social responsibility aspect of public health, stressing the importance of courtesy and preventing the spread of disease.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 100,112
- + 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 @jeremyfaust reveals an well-established Twitter presence with 100,112 followers. The account demonstrates a conversation-first approach, averaging 433.3 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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