Shaun Lintern

Shaun Lintern

@ShaunLintern

Health Editor at The Sunday Times. National Press Awards Health Journalist of the Year 2023. Chair of @mjauk. Public interest journalism matters #E17

[email protected] https://www.thetimes.com/profile/shaun-lintern Joined 2010-07-02 Date of Analysis: Dec 16, 2025

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 tweets

Shaun 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

#nursesstrike (45) #nhsp22 (36) #valproatecrisis (29) #juniordoctorsstrike (29) #eastkent (28) #nhs (20) #patientsafety (19) #maternitysafety (14) #tomorrowspaperstoday (13) #autumnstatement (13)

Most Mentioned

@shaunlintern (250) @thetimes (177) @stevebarclay (73) @thercn (60) @dhscgovuk (58) @bma_juniordocs (56) @janetwilliams99 (49) @emma4facs (49) @thebma (47) @harryyorke1 (46)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 430 (13%)
Replies 1,454 (45%)
Retweets 1,111 (34%)
Quote Tweets 249 (8%)

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 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 10,000 followers

His 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.

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Follower 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

150

Verified Followers

1.5% of total

18.4%

Professional Bios

founder, dev, analyst, etc.

0.23

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):

London, England (506) London (345) United Kingdom (235) England, United Kingdom (175) UK (120) Manchester, England (95) North West, England (58) South West, England (46) Scotland, United Kingdom (44) Bristol, England (40)

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

views (999) health (610) nhs (520) nurse (354) mum (263) clinical (262) director (254) love (250) doctor (248) medical (225)

Top Hashtags in Follower Bios

#gtto (55) #fbpe (47) #nhs (36) #longcovid (22) #mentalhealth (18) #toriesout (15) #rejoineu (13) #meded (12) #ai (12) #actuallyautistic (10)

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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Viral Tweets

Top 5 by likes+RTs from 3,244 analyzed

629,284

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:

Nhs Crisis Health Policy Public Interest Journalism Healthcare Workforce Systemic Failures

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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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