Prof Nisreen Alwan 🌻

Prof Nisreen Alwan 🌻

@Dr2NisreenAlwan

Public Health Professor MBE. My words=my PERSONAL views. RT≠endorse. Other SM: @[email protected], nisreen.a.alwan @Threads, https://t.co/yfWKMqZjXJ

Hampshire, UK Joined 2010-05-29 Date of Analysis: Dec 16, 2025

82,352

Followers

4,928

Following

36,036

Tweets

637.7

Avg Engagement

1,065

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Dr2NisreenAlwan'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:2010-05-29
  • Verification:No
  • Location:Hampshire, UK

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:63.9
  • Avg Retweets per Tweet:573.8
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,244 tweets

Her tweets typically receive a high number of likes and retweets, indicating a responsive and interested audience. Engagement is consistent across her posts.

63.9

Avg Likes/Tweet

573.8

Avg Retweets/Tweet

207,259

Total Likes

1,861,568

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

8

Median Retweets

158

75th Percentile

60,653

Top Tweet

7.74

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

20.5%

Original

33.5%

Replies

38.2%

Retweets

7.7%

Quotes

0.0%

Threads

0.3%

With Media

42.8%

With Links

18.4%

With #Tags

67.9%

With @Mentions

16.4%

With Emojis

172

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.63

Reply/Original Ratio

0.2

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

70.2%

Weekday Posts

29.8%

Weekend Posts

Top Hashtags

#longcovid (280) #juniordoctorsstrike (23) #covid19 (21) #longcovidkids (19) #countlongcovid (17) #sarscov2 (16) #longcovidawarenessday (16) #ehfg2022 (11) #racism (9) #generalelectionnow (9)

Most Mentioned

@dr2nisreenalwan (370) @long_covid (39) @longcovidsos (38) @martinmckee (33) @longcovidkids (32) @bmj_latest (28) @richardjmurphy (28) @trishgreenhalgh (26) @garylineker (25) @chrischirp (24)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 666 (21%)
Replies 1,088 (34%)
Retweets 1,240 (38%)
Quote Tweets 250 (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 1,240 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 3,244 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 9,998 followers

Her audience includes academics, public health professionals, and individuals interested in social and scientific discourse. They engage with her content through likes and retweets.

Average

Audience Quality

20.6%

Suspicion Index

17.9%

Low-Quality %

204

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.6%

Empty Bio

12.7%

<10 Tweets

31.6%

Mass Following (>2K)

0.0%

New (<90 days)

32.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

81.7%

No URL

8.1%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

43,612,324

Total Potential Reach

204

Median Follower Reach

781

75th Percentile Reach

21.2%

>1K followers

2.5%

>10K followers

0.6%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

74.1%

Creators

7,412 accounts

13.2%

Consumers

1,320 accounts

12.7%

Dormant

1,266 accounts

125

Verified Followers

1.25% of total

13.5%

Professional Bios

founder, dev, analyst, etc.

0.19

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 (188) United Kingdom (144) London (130) UK (106) England, United Kingdom (83) United States (55) Scotland, United Kingdom (44) Canada (42) Australia (42) Manchester, England (33)

125

Verified Followers

1.25% of total

942

Protected Accounts

9.42% 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 14,097,996 Wrestler Wrestling, Motivation, Self-promotion
@GaryLineker 8,915,892 Football Pundit BBC Sport, Walkers, @goalhangerfilms
@GulPanag 2,780,914 Actor fitness, biker, adventurer
@TheLancet 746,096 Medical Journal Medicine, Research, Publishing
@OccupyDemocrats 554,632 Political Activist Progressive, Grassroots, Politics
@cbouzy 382,524 Entrepreneur coding, development, entrepreneurship
@EvanKirstel 347,858 Tech Influencer Tech, B2B, Social media
@BNOFeed 321,957 - -
@Andrew_S_Dykes 235,242 Writer Thoughts, Void, Throwing
@RichardJMurphy 232,868 Accountant Economic justice, Accounting, Green New Deal

Top Keywords in Follower Bios

health (570) views (408) covid (337) love (320) sheher (289) life (265) research (232) lover (214) science (208) public (200)

Top Hashtags in Follower Bios

#longcovid (178) #gtto (119) #fbpe (109) #mecfs (52) #covidisairborne (47) #blm (40) #fblc (32) #healthequity (29) #covidisnotover (28) #wearamask (28)

7,236

Followers With Bio

2,764

Followers Without Bio

72.36%

% With Bio

27.64%

% 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

277,525

Combined Engagement

0

Total Likes

277,525

Total Retweets

55,505

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Public Health Gender Issues Academic Engagement Social Commentary Accessibility Language Impact

Key Insights & Takeaways

She emphasizes the importance of hybrid events in scientific conferences, highlighting accessibility and inclusivity. Her tweets often reflect personal experiences, such as waiting in passport queues, to illustrate broader societal issues. She addresses the impact of words on individuals, showing sensitivity to the power of language.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 82,352
  • + 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 @Dr2NisreenAlwan reveals an well-established Twitter presence with 82,352 followers. The account demonstrates a conversation-first approach, averaging 637.7 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