Dana-Farber

Dana-Farber

@DanaFarber

Dana-Farber Cancer Institute - a leading center for expert, compassionate cancer care and advanced research. Appts: 877-442-3324 | https://t.co/HvCwkLltic

Boston, Massachusetts https://t.co/xJMr47XokC Joined 2008-06-30 Date of Analysis: Dec 16, 2025

112,181

Followers

9,416

Following

33,903

Tweets

19.6

Avg Engagement

1,524

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DanaFarber'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:2008-06-30
  • Verification:No
  • Location:Boston, Massachusetts

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:12.1
  • Avg Retweets per Tweet:7.5
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,249 tweets

On average, tweets receive around 455 likes and 100 retweets, indicating moderate engagement. Verified accounts make up 1.1% of the followers, suggesting a mix of public and professional interest.

12.1

Avg Likes/Tweet

7.5

Avg Retweets/Tweet

39,312

Total Likes

24,504

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

6

Median Likes

3

Median Retweets

19

75th Percentile

1,954

Top Tweet

0.18

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

69.7%

Original

2.9%

Replies

25.0%

Retweets

2.4%

Quotes

0.0%

Threads

0.7%

With Media

96.8%

With Links

55.0%

With #Tags

45.3%

With @Mentions

9.9%

With Emojis

230

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.04

Reply/Original Ratio

0.1

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

87.2%

Weekday Posts

12.8%

Weekend Posts

Top Hashtags

#cancer (121) #covid19 (121) #breastcancer (89) #multiplemyeloma (71) #immunotherapy (62) #lymphoma (46) #ash22 (45) #ash20 (44) #colorectalcancer (40) #prostatecancer (37)

Most Mentioned

@danafarbernews (386) @danafarber (364) @thejimmyfund (126) @lglimchermd (94) @drchoueiri (69) @dfarberyoungcrc (66) @dfbc_pedcare (66) @brighamwomens (40) @panmass (31) @danafarber_gu (31)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,263 (70%)
Replies 95 (3%)
Retweets 812 (25%)
Quote Tweets 79 (2%)

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 812 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 3,249 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 10,000 followers

The primary audience includes patients, caregivers, and healthcare professionals interested in cancer treatment and research. The content also appeals to the general public seeking information on cancer care advancements.

Average

Audience Quality

23.2%

Suspicion Index

27.4%

Low-Quality %

45

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

31.8%

Empty Bio

33.8%

<10 Tweets

11.5%

Mass Following (>2K)

0.0%

New (<90 days)

42.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

79.4%

No URL

23.0%

<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.

6,693,739

Total Potential Reach

45

Median Follower Reach

183

75th Percentile Reach

5.9%

>1K followers

0.7%

>10K followers

0.2%

>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).

40.0%

Creators

3,999 accounts

26.2%

Consumers

2,619 accounts

33.8%

Dormant

3,382 accounts

108

Verified Followers

1.08% of total

16.4%

Professional Bios

founder, dev, analyst, etc.

0.13

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):

Boston, MA (353) United States (88) Houston, TX (68) New York, NY (66) Massachusetts, USA (66) Cambridge, MA (53) India (41) San Francisco, CA (39) Los Angeles, CA (38) Washington, DC (38)

108

Verified Followers

1.08% of total

1,008

Protected Accounts

10.08% 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
@scifri 749,810 Science Communication Science, Brain, Curious
@shapeways 318,036 3D Printing 3D printing, product creation, design
@hamad_dosare 290,339 - -
@Innov_Medicine 239,402 - -
@Fahdafahadk 192,731 Translator Translation, International Relations, Women's Empowerment
@chrisfluming 183,769 Comedian comedy, music, LGBTQ+
@ACSNews 172,533 Media Relations Cancer, News, Media
@DraDianePerez 128,444 Doctor Medicine, Journalism, TV Hosting
@dagdevirencanan 121,683 Materials Scientist Materials Science, Physics, Skepticism
@ajitjohnson_n 107,162 Geneticist Cancer, Geneticist, Policies

Top Keywords in Follower Bios

cancer (1,019) phd (672) research (667) student (633) medical (563) oncology (393) fellow (391) university (370) health (354) medicine (313)

Top Hashtags in Follower Bios

#cancer (47) #medtwitter (40) #research (17) #oncology (17) #genomics (14) #firstgen (14) #ai (13) #meded (13) #breastcancer (12) #healthcare (11)

6,825

Followers With Bio

3,175

Followers Without Bio

68.25%

% With Bio

31.75%

% 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 3,249 analyzed

6,856

Combined Engagement

1,669

Total Likes

5,187

Total Retweets

1,371

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Cancer Care Research Patient Stories Institutional Updates Healthcare Staff Medical Breakthroughs
Dana-Farber
@DanaFarber

Amy Ennis was only 38 years old when she was diagnosed with stage III #colorectalcancer, eventually metastasizing to her lungs. After several rounds of treatment, Ennis has no sign of disease — and today, she's paying it forward. https://t.co/2u4Aewa9yb

2019-07-23
Retweets: 285 Likes: 1,669 Engagement: 1,954
Dana-Farber
@DanaFarber

RT @InfieldChatter: Brock Holt of the @RedSox is a world champion and @MLB All-Star, but the role he's played for children at the @DanaFarber Cancer Institute's @TheJimmyFund may be even more impressive. Today, some of the families he's touched say thank you. https://t.co/V67yes

2019-07-16
Retweets: 1,599 Likes: 0 Engagement: 1,599
Dana-Farber
@DanaFarber

RT @KevinOConnorNBA: Let's #DunkOnCancer. After my dad was diagnosed with cancer, so many of you shared your own stories and I was inspired to make a difference for others. During the NBA Finals, let's raise money for cancer research at @DanaFarber. Please go to https://t.co/i

2019-05-28
Retweets: 1,195 Likes: 0 Engagement: 1,195
Dana-Farber
@DanaFarber

RT @andersoncooper: I am lucky my son is healthy, but a lot of kids are fighting for their lives. Francesca “Beans” Kaczynski died of a rare brain cancer, she was 9 months old. Help her parents raise money for other kids treatment. Join #TeamBeans and DONATE TO @DanaFarber! https

2021-03-12
Retweets: 1,168 Likes: 0 Engagement: 1,168
Dana-Farber
@DanaFarber

RT @rarediseaseday: TODAY is #RareDiseaseDay! 💙💚💜 All over the world, the rare disease community are sharing their colours and demanding equity for people living with a rare disease. As a global community, we have a powerful voice! 📣 How are you sharing your colours today?

2022-02-28
Retweets: 940 Likes: 0 Engagement: 940

Key Insights & Takeaways

The account shares personal patient stories to humanize the institution and build emotional connections. It highlights major research achievements, such as Nobel Prize recognition, to establish credibility and expertise. It emphasizes the role of frontline staff, showing a commitment to transparency and patient safety.

Strengths

  • + Established follower base of 112,181
  • + 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 @DanaFarber reveals an growing Twitter presence with 112,181 followers. The account demonstrates a content-creator strategy, averaging 19.6 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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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