STAT
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164,803
Followers
5,054
Following
70,353
Tweets
9.6
Avg Engagement
4,333
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @statnews'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:2015-07-24
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:4.6
- Avg Retweets per Tweet:5.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a strong engagement rate, with an average of 77 likes and 38 retweets per tweet. This suggests that their content is both informative and shareable.
4.6
Avg Likes/Tweet
5.0
Avg Retweets/Tweet
14,922
Total Likes
16,411
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
10
75th Percentile
3,436
Top Tweet
0.06
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
80.5%
Original
6.0%
Replies
13.4%
Retweets
0.1%
Quotes
0.0%
Threads
0.2%
With Media
89.6%
With Links
19.1%
With #Tags
23.4%
With @Mentions
0.5%
With Emojis
151
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
86.6%
Weekday Posts
13.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 436 retweets (13% 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 3,250 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 followersThe audience primarily consists of healthcare professionals, researchers, and individuals interested in health news. They are likely seeking reliable, data-driven information and personal narratives.
Average
Audience Quality
22.1%
Suspicion Index
22.3%
Low-Quality %
99
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.9%
Empty Bio
19.6%
<10 Tweets
21.7%
Mass Following (>2K)
0.0%
New (<90 days)
42.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.3%
No URL
13.7%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
108,627,839
Total Potential Reach
99
Median Follower Reach
417
75th Percentile Reach
13.8%
>1K followers
2.1%
>10K followers
0.5%
>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).
62.8%
Creators
31,395 accounts
17.6%
Consumers
8,799 accounts
19.6%
Dormant
9,806 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):
1,489
Verified Followers
1.47% of total
14,201
Protected Accounts
14.06% of total
9 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 | 14,100,801 | Wrestler | Wrestling, Motivation, Self-promotion |
| @VitalikButerin | 4,851,787 | Cryptocurrency Developer | Ethereum, Dragon Tyrant, Abolition |
| @Alyssa_Milano | 3,499,467 | - | - |
| @DanRather | 2,700,953 | Journalist | Journalism, storytelling, reading |
| @drsanjaygupta | 2,462,718 | Neurosurgeon | Neurosurgery, Medical, Correspondent |
| @BW | 2,207,797 | Journalist | Business, World News, Subscription |
| @TomFitton | 2,145,483 | Lawyer | Politics, Law, Government |
| @DrTedros | 1,946,773 | Doctor | Health, Global, Leadership |
| @ThuliMadonsela3 | 1,740,844 | Advocate | Social Justice, Advocate, Governance |
| @katiecouric | 1,687,215 | Journalist | Journalism, Cancer Research, Podcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,229
Followers With Bio
30,768
Followers Without Bio
69.54%
% With Bio
30.46%
% 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 3,250 analyzed4,378
Combined Engagement
0
Total Likes
4,378
Total Retweets
876
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @ushamcfarling: A team of data analysts has found the presence of Black primary care docs in a county, even a single one, means Black re…
RT @OliviaGoldhill: A depression tool devised by a Zoloft marketing man is now the staple of the mental healthcare system. My investigation…
RT @rachelcohrs: The NIH has had $1 billion and more than two years to study long Covid. They haven’t enrolled a single patient in a clinic…
RT @HelenBranswell: The #Marburg outbreak in Equatorial Guinea is quite a bit bigger than we've been led to believe up till now. Nine confi…
RT @HelenBranswell: People who worked on pandemic preparedness anticipated the Great Toilet Paper Shortage of spring 2020. But many other t…
Key Insights & Takeaways
The account focuses on critical health issues and medical research, often highlighting underfunded or controversial topics. They emphasize patient experiences and personal stories, which adds a human element to their reporting. Their content is well-structured and often includes links to additional resources or newsletters.
Strengths
- + Established follower base of 164,803
- + 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 @statnews reveals an growing Twitter presence with 164,803 followers. The account demonstrates a content-creator strategy, averaging 9.6 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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