Dr. Saskia Popescu
ID Epi -Biodefense- Infection Prevention | Senior Fellow @CSRisks | Asst Prof @UMmedschool | Adjunct @ScharSchool | Affiliate @georgetown_ghss | @JHSPH_CHS ELBI
67,933
Followers
1,301
Following
23,804
Tweets
292.9
Avg Engagement
1,955
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SaskiaPopescu'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:2009-03-23
- Verification:No
- Location:Phoenix & DC
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:24.5
- Avg Retweets per Tweet:268.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,245 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong public interest in her health-related content. The engagement reflects the relevance and urgency of her messages.
24.5
Avg Likes/Tweet
268.3
Avg Retweets/Tweet
79,650
Total Likes
870,776
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
5
Median Retweets
44
75th Percentile
49,159
Top Tweet
4.31
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
19.4%
Original
28.1%
Replies
43.1%
Retweets
9.4%
Quotes
0.0%
Threads
0.6%
With Media
71.1%
With Links
12.1%
With #Tags
71.4%
With @Mentions
10.2%
With Emojis
180
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.45
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.8%
Weekday Posts
24.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 tweetsContent Type Distribution
Content Breakdown
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 1,399 retweets (43% 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 3,245 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 10,000 followersHer audience includes healthcare professionals, public health enthusiasts, and individuals interested in epidemiology and infectious diseases. She also reaches a broader audience concerned about health trends and safety.
Average
Audience Quality
26.1%
Suspicion Index
25.1%
Low-Quality %
104
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.7%
Empty Bio
23.9%
<10 Tweets
29.3%
Mass Following (>2K)
0.0%
New (<90 days)
45.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.7%
No URL
16.5%
<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.
32,116,262
Total Potential Reach
104
Median Follower Reach
467
75th Percentile Reach
14.3%
>1K followers
2.2%
>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).
59.3%
Creators
5,934 accounts
16.8%
Consumers
1,675 accounts
23.9%
Dormant
2,391 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):
134
Verified Followers
1.34% of total
1,119
Protected Accounts
11.19% of total
6 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 | 14,094,228 | Wrestler | Wrestling, Motivation, Self-promotion |
| @drsanjaygupta | 2,449,000 | Neurosurgeon | Neurosurgery, Medical, Correspondent |
| @iownjd | 764,749 | Lawyer | learn, inspire, engage |
| @OccupyDemocrats | 563,378 | Political Activist | Progressive, Grassroots, Politics |
| @DennisKoutoudis | 532,051 | - | - |
| @MarioNawfal | 486,421 | - | - |
| @Uldouz | 458,123 | Influencer | Women's rights, Charity, Social media |
| @StephenCaggiano | 342,201 | Content Creator | Content creation, Access, Resource for creators |
| @PeterHotez | 334,751 | Vaccine Scientist | Vaccine, Antiscience, Pediatrics |
| @davenewworld_2 | 289,295 | Reporter | Racism, Reporting, Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,628
Followers With Bio
3,372
Followers Without Bio
66.28%
% With Bio
33.72%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,245 analyzed209,178
Combined Engagement
0
Total Likes
209,178
Total Retweets
41,836
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @LeslieStreeter: Black Americans paid taxes during segregation for pools they weren't allowed to swim in, fountains they couldn't drink from and buses they had to ride in the back of. So...miss me with this "Why am I paying for school I didn't go to?" At least this is about up
RT @tlecaque: Mermaids can be Black. Hobbits can be Black. Elves can be Black. Dwarves can be Black. Jedi can be Black. None of these things are real, so, any of them can be Black, and you can stop being racist.
RT @ZackBornstein: I don’t understand how COVID is spiking again after we’ve tried everything from pretending it’s over to pretending it never happened
RT @LisaBloom: Hey Twitter employees getting laid off tomorrow! IMPORTANT INFO from a CA employment attorney (me): CA's "WARN" law requires Twitter to give you 60 days notice of a massive layoff. A layoff of 50+ employees within a 30 day period qualifies. I know you didn't g
RT @oneunderscore__: Journalists who cover Elon Musk have been suspended on Twitter tonight: @Donie O'Sullivan from CNN, Aaron Rupar and the Washington Post's @drewharwell. Rupar tells me he has "no idea" why it happened.
Key Insights & Takeaways
Her tweets often emphasize the importance of masking and preventive measures, especially during outbreaks. She highlights the impact of rising cases on healthcare systems, such as overwhelmed pediatric hospitals. She addresses public skepticism about the severity of diseases like COVID-19 and RSV, using data to support her points.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,933
- + 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 @SaskiaPopescu reveals an well-established Twitter presence with 67,933 followers. The account demonstrates a conversation-first approach, averaging 292.9 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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