Harvard Medical School
Official Twitter home of Harvard Medical School, featuring our advances in biomedical research, trends in medical education, and more.
444,706
Followers
685
Following
18,889
Tweets
48.5
Avg Engagement
3,667
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @harvardmed'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:2009-04-13
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:35.7
- Avg Retweets per Tweet:12.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsOn average, tweets receive around 1,914 likes and 763 retweets, indicating moderate to high engagement. Verified accounts make up 0.9% of the followers, suggesting a mix of public and professional interest.
35.7
Avg Likes/Tweet
12.8
Avg Retweets/Tweet
116,071
Total Likes
41,478
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
7
Median Retweets
43
75th Percentile
11,855
Top Tweet
0.11
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
95.5%
Original
0.5%
Replies
3.7%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
96.8%
With Links
4.6%
With #Tags
37.8%
With @Mentions
1.0%
With Emojis
182
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80.6%
Weekday Posts
19.4%
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 3,249 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 121 retweets (4% 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 3,249 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 followersThe primary audience includes medical professionals, researchers, and students interested in healthcare advancements. It also reaches a broader public interested in health-related news and education.
Average
Audience Quality
29.9%
Suspicion Index
37.1%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
42.6%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
62.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
30.9%
<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.
35,624,255
Total Potential Reach
14
Median Follower Reach
80
75th Percentile Reach
3.4%
>1K followers
0.5%
>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).
33.3%
Creators
16,655 accounts
24.0%
Consumers
12,024 accounts
42.6%
Dormant
21,321 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):
869
Verified Followers
0.87% of total
13,038
Protected Accounts
13.04% of total
4 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 |
|---|---|---|---|
| @BillGates | 62,474,200 | Philanthropist | Philanthropy, Learning, Technology |
| @JohnCena | 14,104,229 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ClevelandClinic | 1,871,320 | Healthcare | Health, News, Tips |
| @brb1954 | 1,481,834 | Politician | Politics, Regional Development, Janata Samajwadi Party |
| @fadjroeL | 1,047,082 | Communications | Democracy, Indonesia, Friendship |
| @ShehzadRoy | 984,229 | Musician | Music, Activism, Pakistan |
| @bouska | 841,006 | Fashion Photographer | Fashion, Photography, Activism |
| @NOH8Campaign | 801,651 | Activism | equality, bullying, discrimination |
| @Foodimentary | 703,818 | Food Blogger | Food, Celebrate, Holiday |
| @EverydayHealth | 621,423 | Healthcare | Wellness, Inspiration, Enablement |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,968
Followers With Bio
39,032
Followers Without Bio
60.97%
% With Bio
39.03%
% 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 3,249 analyzed22,512
Combined Engagement
14,096
Total Likes
8,416
Total Retweets
4,502
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
The study shows increased likelihood of hospitalization, cardiovascular effects, blood disorders, diabetes, fatigue, kidney damage, mental health effects, musculoskeletal damage, neurological deficits, and pulmonary damage with each COVID-19 infection https://t.co/Sw3hY6GzoM
The study found a dramatic reduction in medical errors resulting in harm or leading to patient death when first-year resident-physician work hours were limited https://t.co/5aghmaD4ec
RT @Harvard: Claudine Gay has been elected the 30th president of Harvard University https://t.co/NH86VoTLit
Multiple sclerosis, a progressive disease that affects 2.8 million people worldwide and for which there is no definitive cure, is likely caused by infection with the Epstein-Barr virus https://t.co/UuzvqF7JBI
Harvard Medical School in bloom 🌸 https://t.co/1D5b3gHc5L
Key Insights & Takeaways
The account highlights significant medical studies with real-world implications, such as increased hospitalization risks and cardiovascular effects. It emphasizes improvements in patient safety through reduced medical errors, showcasing its focus on healthcare quality. The use of seasonal content like the bloom tweet suggests an effort to maintain a relatable and engaging brand image.
Strengths
- + Established follower base of 444,706
- + 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 @harvardmed reveals an growing Twitter presence with 444,706 followers. The account demonstrates a content-creator strategy, averaging 48.5 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