Partha S Kar 🇮🇳🇬🇧🏏🎥

Partha S Kar 🇮🇳🇬🇧🏏🎥

@parthaskar

Diabetes co-lead @NHSEngland; @NHSGIRFT Diabetes lead; Consultant Diabetes, Portsmouth.IMG -From Kolkata 🇮🇳. Loves 🐶. @RCPhysicians Councillor. Excelsior 😀

Portsmouth https://www.linkedin.com/in/parthakar Joined 2009-12-06 Date of Analysis: Dec 16, 2025

50,497

Followers

11,230

Following

149,347

Tweets

322

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @parthaskar'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:2009-12-06
  • Verification:No
  • Location:Portsmouth

Data Summary

  • Followers Analyzed:49,035

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Audience Demographics

Based on 49,035 followers

His audience likely includes healthcare professionals, particularly those in diabetes care and NHS leadership. He may also engage with medical students and researchers interested in diabetes management.

Good

Audience Quality

16.9%

Suspicion Index

17.8%

Low-Quality %

182

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

26.5%

Empty Bio

14.7%

<10 Tweets

21.5%

Mass Following (>2K)

0.0%

New (<90 days)

24.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

76.7%

No URL

9.1%

<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.

92,319,212

Total Potential Reach

182

Median Follower Reach

688

75th Percentile Reach

18.9%

>1K followers

2.2%

>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).

67.8%

Creators

33,257 accounts

17.5%

Consumers

8,580 accounts

14.7%

Dormant

7,198 accounts

612

Verified Followers

1.25% of total

19.2%

Professional Bios

founder, dev, analyst, etc.

0.28

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 (1,957) London (1,333) United Kingdom (1,240) England, United Kingdom (841) UK (631) Manchester, England (335) London, UK (237) South East, England (230) Birmingham, England (218) North West, England (210)

612

Verified Followers

1.25% of total

4,164

Protected Accounts

8.49% 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
@Suhelseth 4,646,906 Marketing Consultant Food, Marketing, Writing
@vikramchandra 2,852,842 Founder -
@CynthiaLIVE 1,404,505 Entrepreneur Personal Branding, Keynote Speaking, Columnist
@JDaIey 1,248,296 - -
@TheCooksCook 1,120,067 Culinary Entrepreneur cooking, community, multimedia
@JackPhan 1,097,624 Entrepreneur Visionary, Startup Entrepreneur, AdobeInsider
@rogerhamilton 916,104 Entrepreneur education, entrepreneurship, futurism
@NHSMillion 820,308 Supporters Gratitude, Support, Campaign
@DrAmalinaBakri 818,927 Surgeon General Surgery, Clinical Research, BRACELET Study
@krishgm 697,098 Journalist News, Unreported World, Podcast

Top Keywords in Follower Bios

views (5,073) health (4,218) diabetes (3,162) nhs (2,998) clinical (1,886) nurse (1,641) consultant (1,616) medical (1,610) mum (1,554) gp (1,494)

Top Hashtags in Follower Bios

#t1d (351) #nhs (288) #diabetes (233) #insulin4all (134) #meded (117) #digitalhealth (111) #mentalhealth (91) #health (87) #healthcare (80) #fbpe (73)

36,035

Followers With Bio

13,000

Followers Without Bio

73.49%

% With Bio

26.51%

% 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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Key Insights & Takeaways

His profile emphasizes leadership and clinical roles in diabetes care, indicating a focus on professional development and policy. He has a strong international background, having moved from Kolkata, which may influence his perspective on healthcare delivery. His involvement with professional councils and organizations suggests a commitment to advancing medical standards and collaboration.

Strengths

  • + Established follower base of 50,497
  • + 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 @parthaskar reveals an growing Twitter presence with 50,497 followers. The account demonstrates a content-creator strategy, averaging 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