Jennifer Arnold, MD

Jennifer Arnold, MD

@JenArnoldMD

Mom, Neonatologist, Simulation Educator, Cancer Survivor & co-star of #LittleCouple. Tweets are meant to be helpful, not prescriptive #tweetiatrician #FOAMed

Boston, MA https://www.jenniferarnoldmd.com/ Joined 2012-06-11 Date of Analysis: Dec 16, 2025

226,736

Followers

3,358

Following

17,453

Tweets

321.9

Avg Engagement

524

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JenArnoldMD'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:2012-06-11
  • Verification:No
  • Location:Boston, MA

Data Summary

  • Tweets Analyzed:3,246
  • Avg Likes per Tweet:113.6
  • Avg Retweets per Tweet:208.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,246 tweets

Her tweets typically receive around 2k likes and 50 retweets on average, indicating a highly engaged and supportive community. Her personal and professional content resonates well with followers.

113.6

Avg Likes/Tweet

208.3

Avg Retweets/Tweet

368,783

Total Likes

676,097

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

33

Median Likes

3

Median Retweets

131

75th Percentile

535,375

Top Tweet

1.42

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

60.0%

Original

10.1%

Replies

22.2%

Retweets

7.7%

Quotes

0.0%

Threads

3.3%

With Media

69.4%

With Links

55.8%

With #Tags

61.5%

With @Mentions

5.9%

With Emojis

141

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.17

Reply/Original Ratio

0.35

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

72.6%

Weekday Posts

27.4%

Weekend Posts

Top Hashtags

#littlecouple (891) #momlife (190) #momsofinstagram (176) #healthcaresimulation (128) #gobig (67) #zoey (52) #patientsafety (50) #india (48) #simulation (46) #acekidsact (44)

Most Mentioned

@reallybillklein (281) @allchildrens (255) @jenarnoldmd (168) @inspire_network (129) @speaknowforkids (121) @tlc (112) @waltdisneyworld (69) @disney (62) @hasanjabbar1 (59) @ameracadpeds (56)

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Content Strategy Analysis

Based on 3,246 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,947 (60%)
Replies 329 (10%)
Retweets 721 (22%)
Quote Tweets 249 (8%)

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 721 retweets (22% 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 3,246 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 50,000 followers

Her audience includes medical professionals, parents, and individuals interested in healthcare and personal wellness. They are drawn to her blend of expertise and relatability.

Average

Audience Quality

26.3%

Suspicion Index

34.9%

Low-Quality %

19

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52.6%

Empty Bio

27.7%

<10 Tweets

8.9%

Mass Following (>2K)

0.0%

New (<90 days)

56.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.1%

No URL

17.3%

<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.

56,548,643

Total Potential Reach

19

Median Follower Reach

89

75th Percentile Reach

4.8%

>1K followers

0.8%

>10K followers

0.3%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

46.8%

Creators

23,416 accounts

25.4%

Consumers

12,712 accounts

27.7%

Dormant

13,872 accounts

154

Verified Followers

0.31% of total

4.2%

Professional Bios

founder, dev, analyst, etc.

0.08

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):

United States (899) Florida, USA (263) Houston, TX (255) Texas, USA (255) California, USA (213) Canada (181) USA (171) Ohio, USA (160) Pennsylvania, USA (150) Michigan, USA (138)

206

Verified Followers

0.2% of total

17,088

Protected Accounts

16.92% of total

9 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
@DrOz 3,867,269 Cardiologist Health, Wellness, Nutrition
@PeteButtigieg 3,712,733 Politician politics, family, writing
@Razer 3,437,319 Gaming Company Gaming, Support, Action
@DeepakChopra 3,146,211 Author Meditation, Metahuman, Wellness
@dodo 2,733,111 Animal Advocate animals, compassion, rescue
@Todaysparent 2,487,960 Parenting Parenting, Canada, Editor
@6BillionPeople 2,034,456 - -
@SiriouslySusan 1,775,092 Voice Actor Voice acting, singing, speaking
@sherylunderwood 1,319,101 TV Host Talk show, radio, sorority
@soledadobrien 1,317,883 Journalist working, mom, journalist

Top Keywords in Follower Bios

love (7,219) life (4,261) mom (3,782) wife (2,982) mother (2,135) family (2,043) lover (1,862) music (1,623) married (1,553) god (1,405)

Top Hashtags in Follower Bios

#meded (87) #blm (84) #1 (73) #resist (67) #blacklivesmatter (63) #maga (59) #tweetiatrician (50) #healthcare (41) #pedsicu (35) #foamed (33)

45,159

Followers With Bio

55,837

Followers Without Bio

44.71%

% With Bio

55.29%

% 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 3,246 analyzed

608,218

Combined Engagement

0

Total Likes

608,218

Total Retweets

121,644

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

0%

With Links

Topical Analysis:

Medical Education Personal Storytelling Cancer Advocacy Healthcare Social Media Engagement Simulation Education

Key Insights & Takeaways

She effectively combines personal storytelling with professional expertise, creating a unique and relatable voice. Her use of hashtags like #tweetiatrician and #FOAMed helps in reaching a targeted audience interested in medical education. She leverages personal milestones, such as cancer survivorship, to connect with her audience on an emotional level.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 226,736
  • + 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 @JenArnoldMD reveals an well-established Twitter presence with 226,736 followers. The account demonstrates a content-creator strategy, averaging 321.9 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