Annals of Int Med
Annals publishes content to inform medical professionals and society, advance standards of medical research, and improve the health of people worldwide.
67,532
Followers
2,971
Following
12,616
Tweets
14.7
Avg Engagement
1,221
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AnnalsofIM'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:2010-03-05
- Verification:No
- Location:Philadelphia, PA
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:7.0
- Avg Retweets per Tweet:7.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsThe average engagement per tweet is moderate, with around 412 likes and 150 retweets. The account's verified status may contribute to higher trust and engagement.
7.0
Avg Likes/Tweet
7.7
Avg Retweets/Tweet
22,657
Total Likes
25,045
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
13
75th Percentile
1,796
Top Tweet
0.22
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.2%
Original
3.1%
Replies
20.2%
Retweets
0.6%
Quotes
0.0%
Threads
1.0%
With Media
98.0%
With Links
79.5%
With #Tags
69.4%
With @Mentions
6.4%
With Emojis
222
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
96.6%
Weekday Posts
3.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 653 retweets (20% 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 3,240 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 and researchers interested in clinical updates and research. The content also aims to inform the general public about health-related issues.
Average
Audience Quality
24.1%
Suspicion Index
30.2%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.4%
Empty Bio
32.6%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
46.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
22.9%
<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.
5,555,379
Total Potential Reach
38
Median Follower Reach
165
75th Percentile Reach
5.4%
>1K followers
0.7%
>10K followers
0.1%
>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).
44.2%
Creators
4,424 accounts
23.1%
Consumers
2,311 accounts
32.6%
Dormant
3,265 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):
105
Verified Followers
1.05% of total
1,273
Protected Accounts
12.73% 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 |
|---|---|---|---|
| @JHSPH_CHS | 632,404 | - | - |
| @Innov_Medicine | 244,180 | - | - |
| @dramarguerrero | 236,207 | Doctor | Travel, Dreamer, Medicine |
| @MdBreathe | 226,065 | Physician | COVID19, early RX advocacy, FDA lawsuit |
| @Dralbalawi1989 | 134,577 | Diabetologist | health education, diabetes, executive MBA |
| @Dr_Rafizadeh | 121,604 | Political Analyst | Politics, Business, Science |
| @larrybrilliant | 97,649 | Epidemiologist | Epidemiology, Global Health, Philanthropy |
| @MonicaGandhi9 | 93,312 | Doctor | reading, infectious diseases, HIV |
| @JeanChatzky | 81,560 | Financial journalist | finance, writing, podcasting |
| @MHiesboeck | 76,663 | Blockchain Consultant | Blockchain, Crypto, Trading |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,263
Followers With Bio
3,737
Followers Without Bio
62.63%
% With Bio
37.37%
% 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 3,240 analyzed6,682
Combined Engagement
2,644
Total Likes
4,038
Total Retweets
1,336
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
New Annals #InTheClinic --“Dyslipidemia” https://t.co/tGn0yF00fx https://t.co/KwJOSFv3yi
RT @nytimes: Breaking News: The FDA authorized Covid booster shots for Pfizer vaccine recipients who are over 65 or at high risk, including because of job-related exposure. https://t.co/rNJULZwVtw
New commentary from @NIH: for patient safety, #masking should continue in healthcare settings. Full text available here: https://t.co/BvQcPfWywg https://t.co/KPmxzRndpY
RT @EricTopol: What happened to 488 people who survived #COVID19 and hospitalization 60 days later? https://t.co/IrCUnY5pHj @AnnalsofIM #LongCovid @vineet_chopra @flandersumich @HalliePrescott The obsession w/ fatalities & hospitalizations misses all of this; much can occur
RT @EricTopol: Nasopharyngeal swab or saliva to diagnose covid-19? A systematic review of 37 studies, 7332 paired samples https://t.co/mOTpXSz8I3 @AnnalsofIM supports saliva being as sensitive and less costly, "should replace NP swabs in most populations being tested," by @mcgill
Key Insights & Takeaways
The account frequently shares clinical updates and research findings, which likely attract healthcare professionals. It collaborates with reputable institutions like the NIH, enhancing its credibility and reach. The use of hashtags like #InTheClinic helps categorize and promote content effectively.
Strengths
- + Established follower base of 67,532
- + 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 @AnnalsofIM reveals an growing Twitter presence with 67,532 followers. The account demonstrates a content-creator strategy, averaging 14.7 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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