Dr Rosena Allin-Khan

Dr Rosena Allin-Khan

@DrRosena

🌹 Labour MP: #Tooting 👩‍⚕️A&E Doctor 🏡 Born and raised in Tooting 📧 [email protected] "Rosena" rhymes with "tenner" (she/her)

London https://www.drrosena.co.uk/ Joined 2014-03-10 Date of Analysis: Dec 16, 2025

208,791

Followers

7,663

Following

19,788

Tweets

2,134.2

Avg Engagement

1,051

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DrRosena'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:2014-03-10
  • Verification:Yes
  • Location:London

Data Summary

  • Tweets Analyzed:3,247
  • Avg Likes per Tweet:553.0
  • Avg Retweets per Tweet:1,581.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,247 tweets

Her tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often shared widely, especially on topics related to public health and policy.

553.0

Avg Likes/Tweet

1,581.2

Avg Retweets/Tweet

1,795,494

Total Likes

5,134,150

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

23

Median Retweets

526

75th Percentile

2,065,507

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

Mixed

Balanced content approach

27.8%

Original

23.2%

Replies

37.5%

Retweets

11.5%

Quotes

0.0%

Threads

0.7%

With Media

66.9%

With Links

20.5%

With #Tags

68.1%

With @Mentions

13.8%

With Emojis

203

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.83

Reply/Original Ratio

0.31

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

79.1%

Weekday Posts

20.9%

Weekend Posts

Top Hashtags

#pmqs (77) #tooting (42) #spotlightsaturdays (40) #mentalhealth (20) #lab21 (16) #votelabour (15) #worldmentalhealthday (14) #nhsbirthday (14) #wandsworth (13) #covid19 (12)

Most Mentioned

@drrosena (349) @keir_starmer (112) @sadiqkhan (93) @uklabour (83) @jonashworth (64) @wandbc (60) @tootingnewsie (44) @leoniec (39) @marshadecordova (36) @cllrandygibbons (33)

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Content Strategy Analysis

Based on 3,247 tweets

Content Type Distribution

Content Breakdown

Original Tweets 903 (28%)
Replies 753 (23%)
Retweets 1,218 (38%)
Quote Tweets 373 (11%)

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 1,218 retweets (38% 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 3,247 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 50,000 followers

Her audience includes healthcare professionals, political supporters, and the general public interested in social and health issues. She also reaches people in her local community in Tooting.

Average

Audience Quality

20.8%

Suspicion Index

23.2%

Low-Quality %

98

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

34.9%

Empty Bio

17.2%

<10 Tweets

19.1%

Mass Following (>2K)

0.0%

New (<90 days)

39.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.2%

No URL

11.5%

<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.

80,715,312

Total Potential Reach

98

Median Follower Reach

426

75th Percentile Reach

14.0%

>1K followers

1.4%

>10K followers

0.3%

>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).

66.7%

Creators

33,361 accounts

16.1%

Consumers

8,056 accounts

17.2%

Dormant

8,583 accounts

263

Verified Followers

0.53% of total

9.9%

Professional Bios

founder, dev, analyst, etc.

0.16

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 (2,356) London (1,463) United Kingdom (1,043) England, United Kingdom (801) UK (572) Manchester, England (324) Liverpool, England (236) South East, England (211) North West, England (207) Scotland, United Kingdom (200)

390

Verified Followers

0.39% of total

12,212

Protected Accounts

12.09% of total

8 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 14,099,624 Wrestler Wrestling, Motivation, Self-promotion
@GNev2 5,504,779 Sports Commentator Football, Analysis, Motivation
@Lord_Sugar 5,201,681 Entrepreneur business, entrepreneurship, technology
@hinaparvezbutt 2,499,311 Politician Politics, Leadership, Writing
@MartinSLewis 2,225,328 Financial Expert Money saving, tips, musings
@richardosman 1,260,695 TV Presenter TV, Quiz shows, Comedy
@E_L_James 1,114,036 Author Romance, Fangirl, EU
@donwinslow 933,337 Author books, writing, reading
@dragonjones 931,830 Entrepreneur Entrepreneurship, Investing, TV Shows
@Baddiel 882,494 Comedian Comedy, Writing, Football

Top Keywords in Follower Bios

views (5,772) love (3,263) health (2,432) sheher (2,423) lover (2,210) mum (2,205) music (2,181) life (2,163) labour (1,838) politics (1,831)

Top Hashtags in Follower Bios

#fbpe (1,041) #gtto (722) #blm (249) #rejoineu (240) #nhs (179) #fbppr (165) #toriesout (163) #blacklivesmatter (152) #johnsonout (129) #mentalhealth (125)

66,299

Followers With Bio

34,695

Followers Without Bio

65.65%

% With Bio

34.35%

% 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 3,247 analyzed

3,235,194

Combined Engagement

0

Total Likes

3,235,194

Total Retweets

647,039

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Healthcare Politics Public Health Social Issues Pandemic Response Community Engagement

Key Insights & Takeaways

She blends her medical expertise with political commentary, making her content relatable and informative. Her tweets often address urgent public health concerns, which drives engagement. She uses personal stories and local references to connect with her audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 208,791
  • + 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 @DrRosena reveals an exceptionally influential Twitter presence with 208,791 followers. The account demonstrates a content-creator strategy, averaging 2,134.2 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