Shaun Lintern
Health Editor at The Sunday Times. National Press Awards Health Journalist of the Year 2023. Chair of @mjauk. Public interest journalism matters #E17
86,935
Followers
5,628
Following
128,375
Tweets
328.7
Avg Engagement
828
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ShaunLintern'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:2010-07-02
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:54.9
- Avg Retweets per Tweet:273.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,244 tweetsShaun Lintern's tweets typically receive a high number of likes and retweets, indicating strong public interest and agreement with his viewpoints. His content is often shared widely, reflecting its relevance and impact.
54.9
Avg Likes/Tweet
273.9
Avg Retweets/Tweet
177,952
Total Likes
888,408
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
7
Median Retweets
66
75th Percentile
556,264
Top Tweet
3.78
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
13.3%
Original
44.8%
Replies
34.2%
Retweets
7.7%
Quotes
0.0%
Threads
0.3%
With Media
57.8%
With Links
15.6%
With #Tags
83.3%
With @Mentions
8.3%
With Emojis
187
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.38
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.2%
Weekday Posts
32.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 1,111 retweets (34% 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 3,244 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 health professionals, policymakers, and the general public interested in healthcare issues. The content is likely to resonate with those concerned about the NHS and public health policy.
Good
Audience Quality
17.5%
Suspicion Index
19.3%
Low-Quality %
154
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.9%
Empty Bio
15.2%
<10 Tweets
20.0%
Mass Following (>2K)
0.0%
New (<90 days)
27.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.3%
No URL
9.7%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
28,878,014
Total Potential Reach
154
Median Follower Reach
540
75th Percentile Reach
15.8%
>1K followers
1.8%
>10K followers
0.4%
>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).
66.9%
Creators
6,686 accounts
17.9%
Consumers
1,795 accounts
15.2%
Dormant
1,519 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):
150
Verified Followers
1.5% of total
953
Protected Accounts
9.53% 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 | 14,097,988 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DrEricDing | 776,061 | Epidemiologist | Epidemiology, Health, Whistleblower |
| @PeterStefanovi2 | 537,714 | Lawyer | Lawyer, Vlogger, Filmmaker |
| @amelkarboul | 437,767 | CEO | Women, education, tech |
| @ZimEye | 430,479 | Journalist | Zimbabwe, Africa, Journalism |
| @EvanKirstel | 348,434 | Tech Influencer | Tech, B2B, Social media |
| @edballs | 306,681 | Politician | Dad, cook, pianist |
| @FraserNelson | 293,525 | Editor | politics, journalism, social justice |
| @thomaspower | 286,863 | Entrepreneur | AI, Bitcoin, Climate |
| @DrAmirKhanGP | 243,339 | General Practitioner | Medicine, Writing, Wildlife |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,110
Followers With Bio
2,890
Followers Without Bio
71.1%
% With Bio
28.9%
% 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 3,244 analyzed629,284
Combined Engagement
0
Total Likes
629,284
Total Retweets
125,857
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @GretaThunberg: yes, please do enlighten me. email me at [email protected] https://t.co/V8geeVvEvg
RT @dailystar: BREAKING NEWS: 🚨 THE LETTUCE HAS OFFICIALLY OUTLASTED LIZ TRUSS AND WON 🚨 ALL HAIL THE LETTUCE. 🥗🥗🥗 https://t.co/o1zi8UEXXd
RT @ProfDaveAndress: Every doctor, every biologist, everyone with any grasp of antibiotic resistance and its development, just clutching their heads and screaming OH MY GOD NO... https://t.co/JAEDXtb5r7
RT @lindseyhilsum: No tomato shortage here - but I’m in Kherson, a frontline Ukrainian city that gets shelled by the Russians daily, not a British supermarket. https://t.co/FFbVAf1zHC
RT @Haggis_UK: Rishi Sunak - Have they looked after you? Hospital patient - They always do, but it's a pity you don't pay them more Rishi Sunak - We're trying Patient - No, you're not trying, you need to try harder https://t.co/N54498BidE
Key Insights & Takeaways
Shaun Lintern frequently critiques NHS management and policy decisions, highlighting systemic issues and failures. He uses his platform to challenge official narratives and bring attention to underreported health crises. His tweets often include specific examples and data, which enhance credibility and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,935
- + 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 @ShaunLintern reveals an well-established Twitter presence with 86,935 followers. The account demonstrates a conversation-first approach, averaging 328.7 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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