James McInerney
Chair in Evolutionary Biology and Leverhulme Research Fellow. Open Science Advocate. #Python Machine learning. #Pangenomes 🇮🇪 #firstgen He/Him
12,028
Followers
9,496
Following
14,802
Tweets
131
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jomcinerney'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:2009-03-02
- Verification:No
- Location:Nottingham, England
Data Summary
- Followers Analyzed:11,602
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Audience Demographics
Based on 11,602 followersTheir audience likely includes researchers, students, and professionals in evolutionary biology, computational biology, and data science. They may also attract open science advocates and Python developers.
Good
Audience Quality
13.1%
Suspicion Index
8.6%
Low-Quality %
418
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
12.9%
Empty Bio
7.3%
<10 Tweets
27.3%
Mass Following (>2K)
0.0%
New (<90 days)
15.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
57.5%
No URL
4.2%
<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.
33,044,648
Total Potential Reach
418
Median Follower Reach
1,268
75th Percentile Reach
30.1%
>1K followers
4.0%
>10K followers
0.8%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
78.7%
Creators
9,133 accounts
13.9%
Consumers
1,618 accounts
7.3%
Dormant
851 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):
135
Verified Followers
1.16% of total
601
Protected Accounts
5.18% of total
8 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 |
|---|---|---|---|
| @AnnCurry | 1,375,009 | Journalist | Journalism, TedTalk, Future |
| @PeterStefanovi2 | 553,339 | Lawyer | Lawyer, Vlogger, Filmmaker |
| @Scobleizer | 472,223 | Music Producer | Music, Metaverse, Dolby Atmos |
| @cagrimbakirci | 468,057 | Researcher | Evolutionary Algorithms, SciComm, Author |
| @PeterHotez | 460,994 | Vaccine Scientist | Vaccine, Antiscience, Pediatrics |
| @SlackHQ | 459,218 | Communication | technology, productivity, communication |
| @angie_rasmussen | 439,232 | Virologist | Virology, Virus-host interactions, Jeopardy |
| @theAliceRoberts | 407,774 | Anatomist | Science, Anatomy, Humanism |
| @edyong209 | 394,106 | Science Writer | Science, Writing, Parenting |
| @mikegalsworthy | 289,035 | Scientist | politics, Brexit, science |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,111
Followers With Bio
1,491
Followers Without Bio
87.15%
% With Bio
12.85%
% 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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Buy Tweets - from $15Key Insights & Takeaways
The user is likely focused on academic and research-oriented content. They may use Twitter to share findings, discuss open science initiatives, and engage with the computational biology community. Their profile suggests a strong interest in Python and machine learning applications in evolutionary biology.
Strengths
- + Established follower base of 12,028
- + 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 @jomcinerney reveals an growing Twitter presence with 12,028 followers. The account demonstrates a content-creator strategy, averaging 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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