Heart_BMJ
Publishing research and reviews in #cardiovascular diseases. Companion #OpenAccess journal, @Open_HeartBMJ Published with @BritishCardioSo
58,150
Followers
10,848
Following
11,754
Tweets
31.6
Avg Engagement
787
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Heart_BMJ'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:2009-05-22
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:19.6
- Avg Retweets per Tweet:12.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account has an average of 396 likes and 149 retweets per tweet, suggesting moderate engagement. The content is well-received but not highly viral, indicating a niche but dedicated audience.
19.6
Avg Likes/Tweet
12.0
Avg Retweets/Tweet
63,754
Total Likes
38,870
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
6
Median Retweets
33
75th Percentile
1,553
Top Tweet
0.54
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71.9%
Original
1.7%
Replies
25.1%
Retweets
1.2%
Quotes
0.0%
Threads
0.0%
With Media
97.0%
With Links
17.5%
With #Tags
37.4%
With @Mentions
16.8%
With Emojis
178
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.2%
Weekday Posts
22.8%
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 817 retweets (25% 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 10,000 followersThe primary audience includes medical professionals, researchers, and students in cardiovascular medicine. The content is likely intended for those seeking the latest research and clinical insights in cardiology.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
100.0%
<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.
3,859,506
Total Potential Reach
29
Median Follower Reach
124
75th Percentile Reach
3.8%
>1K followers
0.5%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,258
Protected Accounts
12.58% of total
5 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 |
|---|---|---|---|
| @EvanKirstel | 350,228 | Tech Influencer | Tech, B2B, Social media |
| @DrSAS_ALASIRI | 191,798 | Physician | Emergency Medicine, Hospital Management, Healthcare Systems |
| @woodyshrarh | 112,436 | Doctor | Medicine, Engineering, Art |
| @TonyJSelimi | 99,729 | Business Coach | Personal Development, Business Performance, Filmmaking |
| @drruchibhatt | 96,780 | Healthcare Technology | Health Technology, WomenInTech, Data Science |
| @BulentTutluoglu | 92,517 | Pulmonologist | pulmonology, asthma, sleep disorders |
| @jamesjpdrake | 89,374 | Entrepreneur | portrait art, philanthropy, science |
| @wodarg | 88,744 | - | - |
| @OrlandoRPN | 77,961 | - | - |
| @RusselWheyghun | 68,962 | Sports Scientist | Sports, Medicine, Aquarius |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,007
Followers With Bio
3,993
Followers Without Bio
60.07%
% With Bio
39.93%
% 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 analyzed4,377
Combined Engagement
1,612
Total Likes
2,765
Total Retweets
875
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @ICS_updates: As #COVID19 intensifies, so does the need to make sure you take the time to look after your #wellbeing. We've been working with @DrJulie_H to bring you resources & advice on how to sustain wellbeing during COVID-19 and beyond💙 Please share far and wide👉http
Role and relevance of risk stratification models in the modern-day management of non-ST elevation acute coronary syndromes https://t.co/xhXbEUqk8e https://t.co/54C7Fze5qC
RT @ccpractitioner: Great image. Those pesky chest chest X rays! #radiology #FOAMed https://t.co/xKKFfg0Pqw
Management of premature ventricular complexes https://t.co/3drhZM9G5n https://t.co/JF6Bb5jQBl
Hyponatraemia in heart failure: time for new solutions? https://t.co/9DAEFCMBYL https://t.co/DQkfwMrDZ2
Key Insights & Takeaways
The account frequently shares in-depth research and reviews on complex cardiovascular topics, indicating a focus on academic and clinical relevance. The use of open-access journal links suggests a commitment to making research widely available. The content often addresses current challenges and potential solutions in heart failure and arrhythmias, highlighting a problem-solving approach.
Strengths
- + Established follower base of 58,150
- + 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 @Heart_BMJ reveals an growing Twitter presence with 58,150 followers. The account demonstrates a content-creator strategy, averaging 31.6 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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