Dr Rosena Allin-Khan
🌹 Labour MP: #Tooting 👩⚕️A&E Doctor 🏡 Born and raised in Tooting 📧 [email protected] "Rosena" rhymes with "tenner" (she/her)
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 tweetsHer 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
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 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 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 50,000 followersHer 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.
Try Bot DetectorFollower 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
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):
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
Top Hashtags in Follower Bios
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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed3,235,194
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:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @JoeBiden: America, I’m honored that you have chosen me to lead our great country. The work ahead of us will be hard, but I promise you this: I will be a President for all Americans — whether you voted for me or not. I will keep the faith that you have placed in me. https://
RT @CopThatCooks: If you're in trouble dial 999. If you cannot speak, dial 55. We hear you. You are not alone. https://t.co/WeoHsNB6ke
RT @RoyalFamily: It is with deep sorrow that Her Majesty The Queen has announced the death of her beloved husband, His Royal Highness The Prince Philip, Duke of Edinburgh. His Royal Highness passed away peacefully this morning at Windsor Castle. https://t.co/XOIDQqlFPn
RT @MarcusRashford: https://t.co/bs9lksGM4q
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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