Oni Blackstock, MD, MHS

Oni Blackstock, MD, MHS

@oni_blackstock

Primary care + HIV physician • #HealthJustice's Founder + Executive Director • 2023 @TheRoot 100 • @akinfe’s partner🪷 • 🗣: @ccmntspeakers • she/her(s)

Lenapehoking/landback.org https://www.healthjustice.co/our-team/ Joined 2018-03-03 Date of Analysis: Dec 16, 2025

70,624

Followers

7,490

Following

48,754

Tweets

1,504.0

Avg Engagement

711

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @oni_blackstock'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:2018-03-03
  • Verification:No
  • Location:Lenapehoking/landback.org

Data Summary

  • Tweets Analyzed:3,206
  • Avg Likes per Tweet:71.4
  • Avg Retweets per Tweet:1,432.6
  • Followers Analyzed:10,998

Engagement Analysis

Based on 3,206 tweets

Her tweets receive high engagement, with an average of 13,782 likes and 2,908 retweets per tweet. This indicates a strong and active community that resonates with her messages on health and social justice.

71.4

Avg Likes/Tweet

1,432.6

Avg Retweets/Tweet

229,015

Total Likes

4,592,828

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

37

Median Retweets

599

75th Percentile

296,624

Top Tweet

21.3

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

3.7%

Original

27.4%

Replies

66.7%

Retweets

2.2%

Quotes

0.0%

Threads

0.7%

With Media

54.7%

With Links

17.8%

With #Tags

89.7%

With @Mentions

18.6%

With Emojis

200

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

7.44

Reply/Original Ratio

0.03

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.8%

Weekday Posts

26.2%

Weekend Posts

Top Hashtags

#nhmahivchat (53) #longcovid (40) #pact4hiv (26) #hiv (24) #keepmasksinhealthcare (23) #stophivtogether (17) #jordanneely (17) #blackhistorymonth (17) #maskweekofaction (16) #nwghaad (15)

Most Mentioned

@oni_blackstock (135) @uche_blackstock (124) @thrasherxy (64) @luckytran (55) @phil_lewis_ (26) @_eric_reinhart (26) @nycmayor (23) @ykhong (22) @tanmoydaslala (19) @ammahstarr (18)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,206 tweets

Content Type Distribution

Content Breakdown

Original Tweets 118 (4%)
Replies 878 (27%)
Retweets 2,139 (67%)
Quote Tweets 71 (2%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 2,139 retweets (67% 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 3,206 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 10,998 followers

Her audience includes healthcare professionals, activists, and individuals interested in social justice and racial equity. They are likely engaged in discussions around health policy, civil rights, and community advocacy.

Good

Audience Quality

19.8%

Suspicion Index

15.2%

Low-Quality %

206

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

23.1%

Empty Bio

11.3%

<10 Tweets

31.8%

Mass Following (>2K)

0.0%

New (<90 days)

32.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

76.2%

No URL

7.3%

<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.

Try Bot Detector

Follower Reach & Influence

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

23,362,058

Total Potential Reach

206

Median Follower Reach

696

75th Percentile Reach

18.9%

>1K followers

3.1%

>10K followers

0.6%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

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

75.7%

Creators

8,329 accounts

13.0%

Consumers

1,431 accounts

11.3%

Dormant

1,238 accounts

128

Verified Followers

1.16% of total

16.4%

Professional Bios

founder, dev, analyst, etc.

0.19

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 (181) Washington, DC (103) New York, NY (98) Chicago, IL (95) Los Angeles, CA (79) Brooklyn, NY (63) Boston, MA (62) Philadelphia, PA (57) USA (56) New York, USA (56)

128

Verified Followers

1.16% of total

1,402

Protected Accounts

12.75% of total

7 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
@Yamiche 1,198,986 Journalist politics, journalism, news
@TheSource 802,349 Media Music, Culture, Fashion
@NOH8Campaign 798,742 Activism equality, bullying, discrimination
@yashar 708,303 Journalist Politics, News, Culture
@CalvinHelin 581,907 Author empowerment, responsibility, self-reliance
@SinnamonLove 489,962 Sex Worker Sex work, Cannabis, Content creation
@TaylorLorenz 350,269 Reporter influencer, online creator, book
@DrMabula 346,602 - -
@shanselman 317,761 Software Developer Code, STEM, Podcasts
@vanessa_vash 241,018 - -

Top Keywords in Follower Bios

health (842) sheher (757) mom (341) views (324) love (310) lover (288) writer (274) social (268) public (268) hehim (251)

Top Hashtags in Follower Bios

#blm (101) #blacklivesmatter (71) #longcovid (65) #covidisairborne (47) #resist (42) #healthequity (33) #medtwitter (28) #actuallyautistic (27) #mecfs (25) #covidisnotover (22)

8,457

Followers With Bio

2,541

Followers Without Bio

76.9%

% With Bio

23.1%

% 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 $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,206 analyzed

698,183

Combined Engagement

0

Total Likes

698,183

Total Retweets

139,637

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Health Justice Racial Equity Police Brutality Systemic Racism Ableism Gentrification Social Justice

Key Insights & Takeaways

Her content often highlights the intersection of health disparities and systemic racism. She uses personal and community stories to draw attention to larger social issues. Her tweets frequently address police violence and its impact on Black and marginalized communities.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 70,624
  • + High community engagement through conversations
  • + 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 @oni_blackstock reveals an exceptionally influential Twitter presence with 70,624 followers. The account demonstrates a conversation-first approach, averaging 1,504.0 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

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