Dr. Jennifer Kwan
Family Physician 🇨🇦👩🏻⚕️📈 Mon-Wed-Fri #COVID19Ontario updates. 🐶🍣🍜@McMasterFamMed alumna. @1010moment
84,278
Followers
6,675
Following
23,650
Tweets
125.3
Avg Engagement
728
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jkwan_md'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:2020-03-09
- Verification:No
- Location:Ontario, Canada
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:101.8
- Avg Retweets per Tweet:23.5
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,193 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests her audience values her expertise and the relevance of her content.
101.8
Avg Likes/Tweet
23.5
Avg Retweets/Tweet
325,066
Total Likes
74,969
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
34
Median Likes
4
Median Retweets
64
75th Percentile
14,109
Top Tweet
1.49
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
7.3%
Original
89.1%
Replies
3.0%
Retweets
0.6%
Quotes
0.0%
Threads
0.2%
With Media
64.2%
With Links
30.9%
With #Tags
52.7%
With @Mentions
40.4%
With Emojis
129
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
12.27
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.2%
Weekday Posts
17.8%
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 3,193 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 95 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 3,193 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 9,998 followersHer followers are primarily interested in health information, especially related to the pandemic, and are likely looking for reliable medical advice. They also engage with content that challenges misinformation and promotes scientific literacy.
Average
Audience Quality
25.4%
Suspicion Index
31.6%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.9%
Empty Bio
28.9%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
48.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.9%
No URL
21.2%
<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.
21,487,959
Total Potential Reach
38
Median Follower Reach
226
75th Percentile Reach
8.3%
>1K followers
0.9%
>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).
53.1%
Creators
5,308 accounts
18.0%
Consumers
1,804 accounts
28.9%
Dormant
2,886 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):
62
Verified Followers
0.62% of total
1,107
Protected Accounts
11.07% 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 | 14,097,127 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OccupyDemocrats | 553,915 | Political Activist | Progressive, Grassroots, Politics |
| @raehanbobby | 508,565 | Keynote Speaker | Networking, Personal Brand, Storytelling |
| @BNOFeed | 322,024 | - | - |
| @davenewworld_2 | 289,350 | Reporter | Racism, Reporting, Media |
| @MuseumWeek | 230,419 | Cultural Event | art, culture, heritage |
| @BlackKnight10k | 177,000 | Comedian | Smoking, Ivermectin, Betting |
| @TheCurrentCBC | 120,124 | Journalist | News, Interviews, Current Affairs |
| @fitterhappierAJ | 100,498 | - | - |
| @ItsDeanBlundell | 88,364 | Media Personality | Stoicism, Bird attacks, Comedy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,812
Followers With Bio
4,188
Followers Without Bio
58.12%
% With Bio
41.88%
% 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 3,193 analyzed44,807
Combined Engagement
39,919
Total Likes
4,888
Total Retweets
8,961
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Today is March 674, 2020
Big Weather says there’s a snowstorm coming, but have you gone outside to do your own research? There is no snow!🚫❄️ Wake up! #ONStorm
Urine trouble if you think drinking pee cures covid-19
How hateful & selfish do you have to be, to offer a "bounty" for people to stalk frontline healthcare workers during a pandemic? I am grateful for @NaheedD's advocacy. Who's with me? #IStandWithDrDosani https://t.co/vcfS8bmtok
Thank YOU for being a part of my morning routine for 2+ years.☕️📈😊 But this is the end of my 10am #COVID19 updates... 1/🧵
Key Insights & Takeaways
Dr. Wain often addresses misinformation and promotes critical thinking, especially regarding health topics like COVID-19. She uses humor and relatable content to engage her audience, such as referencing weather and food. Her tweets frequently include calls to action or encourage followers to question false information.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,278
- + 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 @jkwan_md reveals an well-established Twitter presence with 84,278 followers. The account demonstrates a conversation-first approach, averaging 125.3 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