Caghan Kizil
Assoc. Prof Neurological Sciences. #Zebrafish and #Alzheimer's disease. @ColumbiaMed @Columbia @KizilLab https://www.neurology.columbia.edu/profile/caghan-kizil-phd | My views, no endorsement
199,609
Followers
3,472
Following
12,417
Tweets
1,091.1
Avg Engagement
379
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CaKizil'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:2011-12-10
- Verification:No
- Location:New York, USA
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:684.0
- Avg Retweets per Tweet:407.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,229 tweetsCaKizil's tweets receive high engagement, with an average of 30,934 likes and 3,522 retweets per tweet. Their content is both informative and thought-provoking, encouraging discussion.
684.0
Avg Likes/Tweet
407.2
Avg Retweets/Tweet
2,208,491
Total Likes
1,314,760
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
28
Median Retweets
861
75th Percentile
172,641
Top Tweet
5.47
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
22.7%
Original
35.4%
Replies
27.7%
Retweets
14.2%
Quotes
0.0%
Threads
0.1%
With Media
37.6%
With Links
8.8%
With #Tags
60.4%
With @Mentions
7.4%
With Emojis
128
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.56
Reply/Original Ratio
0.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.3%
Weekday Posts
37.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 894 retweets (28% 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 3,229 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 followersTheir audience includes academics, researchers, and individuals interested in neuroscience and public health. They also engage with broader audiences through political and social commentary.
Average
Audience Quality
28.1%
Suspicion Index
39.0%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.4%
Empty Bio
27.3%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
18.7%
<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.
43,719,862
Total Potential Reach
26
Median Follower Reach
113
75th Percentile Reach
4.8%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.5%
Creators
25,749 accounts
21.2%
Consumers
10,583 accounts
27.3%
Dormant
13,668 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):
266
Verified Followers
0.26% of total
23,255
Protected Accounts
23.03% 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 |
|---|---|---|---|
| @haluklevent | 8,740,813 | Singer | Music, activism, philanthropy |
| @OguzhanUgur | 5,350,466 | Content Creator | Comedy, Entertainment, Turkey |
| @ugurdundarsozcu | 4,980,558 | - | - |
| @HergunYeniBilg | 4,222,518 | Bilgi Sayfası | Bilim, Psikoloji, Uzay |
| @hdpdemirtas | 2,459,004 | Politician | Politics, Imprisonment, Activism |
| @HAYKOCPQN | 2,401,066 | Musician | Music, Management, PR |
| @mesutyar | 1,842,962 | Entrepreneur | Football, Travel, Photography |
| @TerribleMaps | 1,808,152 | Cartographer | Maps, Humour, Business |
| @taylan1789 | 1,771,032 | Actor | Love, solitude, poetry |
| @Elif_Safak | 1,651,856 | Author | Storytelling, Feminism, Human Rights |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,981
Followers With Bio
59,017
Followers Without Bio
41.57%
% With Bio
58.43%
% 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.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,229 analyzed355,579
Combined Engagement
165,125
Total Likes
190,454
Total Retweets
71,116
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @TwitterSafety: After close review of recent Tweets from the @realDonaldTrump account and the context around them we have permanently su…
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Key Insights & Takeaways
CaKizil frequently engages in public debates on health and political issues, reflecting a blend of scientific and social commentary. Their tweets often challenge political figures and public officials, highlighting concerns about policy and public health. They use their platform to discuss scientific research, particularly in the fields of neuroscience and Alzheimer's disease.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 199,609
- + 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 @CaKizil reveals an exceptionally influential Twitter presence with 199,609 followers. The account demonstrates a conversation-first approach, averaging 1,091.1 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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