Siemens Healthineers

Siemens Healthineers

@SiemensHealth

We’re a leading medtech company with over 71,000 global Healthineers pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

https://www.siemens-healthineers.com/ Joined 2009-06-17 Date of Analysis: Dec 16, 2025

82,736

Followers

1,071

Following

12,904

Tweets

28.1

Avg Engagement

1,328

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @SiemensHealth'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:2009-06-17
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,210
  • Avg Likes per Tweet:22.3
  • Avg Retweets per Tweet:5.8
  • Followers Analyzed:10,999

Engagement Analysis

Based on 3,210 tweets

The account has an average of 731 likes and 210 retweets per tweet, indicating moderate engagement. Verified accounts make up 1.2% of their followers, suggesting a professional and trusted audience.

22.3

Avg Likes/Tweet

5.8

Avg Retweets/Tweet

71,651

Total Likes

18,546

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

11

Median Likes

3

Median Retweets

26

75th Percentile

1,603

Top Tweet

0.34

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

72.6%

Original

23.9%

Replies

2.3%

Retweets

1.2%

Quotes

0.0%

Threads

2.4%

With Media

51.7%

With Links

58.4%

With #Tags

33.1%

With @Mentions

6.2%

With Emojis

180

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.33

Reply/Original Ratio

0.52

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

94.8%

Weekday Posts

5.2%

Weekend Posts

Top Hashtags

#covid19 (226) #ai (207) #digitalhealth (138) #ct (117) #radiology (86) #rsna19 (79) #xray (70) #mri (70) #ecr2020 (70) #healthcare (65)

Most Mentioned

@bernd_montag (108) @siemenshealth (37) @varianmedsys (32) @siemenshealthpr (28) @siemens (21) @worldhealthsmt (7) @unispitalbasel (7) @fcbayern (6) @corindusinc (6) @bumrungradh (6)

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Content Strategy Analysis

Based on 3,210 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,332 (73%)
Replies 767 (24%)
Retweets 73 (2%)
Quote Tweets 38 (1%)

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 73 retweets (2% 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 3,210 tweets

Engagement 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 10,999 followers

The audience is likely healthcare professionals, medical researchers, and patients interested in medical technology. They are also interested in sustainability and global health initiatives.

Average

Audience Quality

23.8%

Suspicion Index

27.8%

Low-Quality %

38

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

35.6%

Empty Bio

29.2%

<10 Tweets

13.4%

Mass Following (>2K)

0.0%

New (<90 days)

46.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

77.3%

No URL

20.0%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

6,217,713

Total Potential Reach

38

Median Follower Reach

185

75th Percentile Reach

6.6%

>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).

48.4%

Creators

5,320 accounts

22.4%

Consumers

2,468 accounts

29.2%

Dormant

3,211 accounts

128

Verified Followers

1.16% of total

13.7%

Professional Bios

founder, dev, analyst, etc.

0.11

Median Follow Ratio

follower/following

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):

India (71) London, England (65) Bengaluru, India (60) United States (55) United Kingdom (46) Germany (44) New Delhi, India (43) Mumbai, India (32) Boston, MA (32) USA (30)

128

Verified Followers

1.16% of total

1,205

Protected Accounts

10.96% 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
@atlrs_official 456,880 Soccer Club Football, J-League, Club
@johnnjenga 283,905 Academic Politics, Memory, Research
@Innov_Medicine 241,523 - -
@jamesvgingerich 125,756 Automation Expert RPA, Digital Transformation, InsurTech
@NetApp 125,291 Technology Technology, Data Management, Innovation
@DorleyMAT 118,996 - -
@InvestShanghai 95,541 - -
@jeffkagan 93,588 Industry Analyst Wireless, 5G, IoT
@TechNative 89,309 Tech Journalist Articles, webcasts, interviews
@Smith83K 84,563 Activist BidenHarris, WearAMask, CancerSurvivor

Top Keywords in Follower Bios

medical (490) health (441) healthcare (399) research (294) student (260) phd (234) engineer (228) life (199) views (198) imaging (186)

Top Hashtags in Follower Bios

#ai (39) #healthcare (37) #innovation (21) #healthtech (18) #radiology (15) #medtech (15) #digitalhealth (15) #iot (15) #technology (13) #health (13)

7,087

Followers With Bio

3,912

Followers Without Bio

64.43%

% With Bio

35.57%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,210 analyzed

5,710

Combined Engagement

4,537

Total Likes

1,173

Total Retweets

1,142

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

20%

With @Mentions

60%

With Links

Topical Analysis:

Healthcare Innovation Pandemic Response Medical Technology Sustainability Global Health

Key Insights & Takeaways

The account frequently shares updates on medical innovations and pandemic-related tools. They emphasize sustainability and global accessibility in their messaging. They engage with verified professionals and focus on critical healthcare challenges.

Strengths

  • + Established follower base of 82,736
  • + 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 @SiemensHealth reveals an growing Twitter presence with 82,736 followers. The account demonstrates a content-creator strategy, averaging 28.1 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025