Prof Francois Balloux
Director @UGI_at_UCL. Interest in Infectious disease epidemiology, pathogen genomics and global health BSKY account: @proffballoux.bsky.social
149,300
Followers
1,172
Following
30,239
Tweets
70.4
Avg Engagement
2,283
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BallouxFrancois'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:2019-04-04
- Verification:No
- Location:Pretty mobile
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:57.0
- Avg Retweets per Tweet:13.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,224 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests his content is both informative and controversial.
57.0
Avg Likes/Tweet
13.4
Avg Retweets/Tweet
183,655
Total Likes
43,190
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
40
75th Percentile
11,694
Top Tweet
0.47
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
3.3%
Original
90.8%
Replies
2.7%
Retweets
3.1%
Quotes
0.0%
Threads
0.2%
With Media
24.5%
With Links
0.4%
With #Tags
80.9%
With @Mentions
4.6%
With Emojis
181
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
27.37
Reply/Original Ratio
1.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,224 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 87 retweets (3% 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 3,224 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 followersHis audience likely includes academics, public health professionals, and individuals interested in global health and science communication. They are engaged with his critical perspectives on health policies and misinformation.
Average
Audience Quality
22.3%
Suspicion Index
25.2%
Low-Quality %
95
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.0%
Empty Bio
16.4%
<10 Tweets
20.8%
Mass Following (>2K)
0.0%
New (<90 days)
43.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.3%
No URL
11.4%
<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.
102,410,491
Total Potential Reach
95
Median Follower Reach
391
75th Percentile Reach
12.7%
>1K followers
1.7%
>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).
69.0%
Creators
34,497 accounts
14.6%
Consumers
7,287 accounts
16.4%
Dormant
8,216 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):
2,086
Verified Followers
2.07% of total
12,094
Protected Accounts
11.97% 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 | 14,101,638 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jk_rowling | 14,055,209 | Writer | Writing, Author, Fiction |
| @megynkelly | 2,756,352 | Journalist | Family, Journalism, Love |
| @drdrew | 2,646,058 | Medical Professional | Medicine, Addiction, TV |
| @NickKristof | 1,950,719 | Farmer | Oregon, farmer, author |
| @jdickerson | 1,915,971 | Journalist | News, Politics, Journalism |
| @SebGorka | 1,347,847 | Political Commentator | Politics, National Security, Media |
| @RFA_Chinese | 1,285,396 | News Outlet | news, commentary, diversity |
| @pmarca | 1,238,593 | Investor | Tucked shirt |
| @ossoff | 1,205,790 | Politician | politics, Georgia, Senate |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,187
Followers With Bio
38,807
Followers Without Bio
61.57%
% With Bio
38.43%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,224 analyzed28,711
Combined Engagement
19,096
Total Likes
9,615
Total Retweets
5,742
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
The Covid situation in China is not looking good right now. The authorities have trapped themselves into a situation from which there's no obvious escape strategy. Whatever they choose - or will be forced - to do next will be very costly. 1/
RT @Doctor_Eric_B: I’ve been seeing a lot of people quoting stats that show more athletes died in the last year than have died in the last…
Few people realise how lucrative it is to be an antivax grifter. @alexberenson a middling player in the field makes an estimated ~$108,000/month from his Substack alone, roughly 10X what I make as a a very senior infectious disease epidemiologist. 1/ https://t.co/YwRgptpOMr
This 'OMG the Pfizer CEO admits that Covid vaccines don't reduce transmission' furore is tiresome and unhelpful. Covid vaccines were not trialled for their effectiveness in reducing infection / transmission and neither the Pfizer or Moderna CEO promised they would at the time. 1/
Mask mandates won't come back. There's no support for them in the population. Public health professionals calling for their return through force, stealth or manipulation, are wasting their time. All they achieve is to squander public trust in scientific and medical authorities. h
Key Insights & Takeaways
He frequently comments on the global health situation, particularly regarding China's handling of the pandemic. He critiques misinformation and antivax movements, highlighting their financial incentives. He addresses public reactions to scientific information, such as vaccine efficacy and transmission data.
Strengths
- + Established follower base of 149,300
- + 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 @BallouxFrancois reveals an growing Twitter presence with 149,300 followers. The account demonstrates a conversation-first approach, averaging 70.4 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access