John Sharp MD
John Sharp, M.D., author of his JUST published second book, The Insight Cure, is a Shrink.
77,461
Followers
298
Following
4,573
Tweets
160.7
Avg Engagement
88
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JohnSharpMD'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:2009-01-11
- Verification:No
- Location:Boston/Los Angeles
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:0.4
- Avg Retweets per Tweet:160.3
- Followers Analyzed:10,997
Engagement Analysis
Based on 3,233 tweetsHis tweets typically receive moderate engagement, with an average of 38 likes and 13 retweets. He frequently interacts with other professionals and shares relevant content.
0.4
Avg Likes/Tweet
160.3
Avg Retweets/Tweet
1,251
Total Likes
518,305
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
75,383
Top Tweet
2.07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
82.4%
Original
1.9%
Replies
10.7%
Retweets
5.0%
Quotes
0.0%
Threads
0.5%
With Media
69.2%
With Links
36.3%
With #Tags
37.9%
With @Mentions
0.4%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 346 retweets (11% 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 3,233 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 10,997 followersHis audience likely includes individuals interested in psychology, mental health, and personal development. They may also be professionals in related fields or students seeking expert opinions.
Below Average
Audience Quality
41.2%
Suspicion Index
56.9%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
72.6%
Empty Bio
56.3%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
88.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
41.1%
<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.
12,953,297
Total Potential Reach
6
Median Follower Reach
18
75th Percentile Reach
2.3%
>1K followers
0.7%
>10K followers
0.2%
>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).
21.3%
Creators
2,346 accounts
22.4%
Consumers
2,458 accounts
56.3%
Dormant
6,193 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):
19
Verified Followers
0.17% of total
1,013
Protected Accounts
9.21% of total
11 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 |
|---|---|---|---|
| @NBCTheVoice | 4,910,576 | Singing | Music, Singing, Competition |
| @LILBTHEBASEDGOD | 1,239,774 | Rapper | Music, Writing, Film |
| @larrykim | 726,066 | Entrepreneur | Startups, AdWords, Chatbots |
| @ericschiffer | 698,326 | CEO | business, media, author |
| @OnlyInBOS | 638,971 | Local News | - |
| @MelissaJoanHart | 626,925 | Actress | Family, Acting, Motherhood |
| @EvanKirstel | 348,507 | Tech Influencer | Tech, B2B, Social media |
| @WPXI | 208,389 | News Anchor | News, Pittsburgh, TV |
| @SenBooker | 199,056 | Politician | Politics, New Jersey, Senate |
| @BostonMagazine | 169,995 | Media | news, politics, food |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,019
Followers With Bio
7,980
Followers Without Bio
27.45%
% With Bio
72.55%
% 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 3,233 analyzed302,169
Combined Engagement
0
Total Likes
302,169
Total Retweets
60,434
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @TomBrady: ❤️ https://t.co/B3KKl7DFk3
RT @therealadamwest: Our beloved AW passed away last night. He was the greatest. We'll miss him like crazy. We know you'll miss him too - West Family https://t.co/8bkEq1C2ao
RT @avalonpenrose: a normal person explains what’s happening on the stock market: https://t.co/zKKvULCirX
RT @neiltyson: The divided United States of America will unite today, sharing a cosmic event predicted by the methods and tools of science. https://t.co/Q3lNrDLABA
RT @GameOfThrones: News from Winterfell. The latte that appeared in the episode was a mistake. #Daenerys had ordered an herbal tea. https://t.co/ypowxGgQRl
Key Insights & Takeaways
He often shares personal and professional reflections on mental health issues. He engages with other experts and professionals in the field. He uses his platform to raise awareness about important psychological topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,461
- + 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 @JohnSharpMD reveals an well-established Twitter presence with 77,461 followers. The account demonstrates a content-creator strategy, averaging 160.7 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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