Patricio Valderrama-Murillo 🌎
🌎PhD en Ciencias de la Tierra 🌧️Observador del Clima en @RppNoticias Cuenta Personal Tenía Cuenta Verificada, pero Elon la quitó. RT no es endoso
59,100
Followers
673
Following
31,482
Tweets
570.6
Avg Engagement
197
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @patriciov'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:2007-11-26
- Verification:No
- Location:Lima, Peru
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:86.5
- Avg Retweets per Tweet:484.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsHis tweets receive an average of 3,538 likes and 855 retweets, indicating strong interest in his scientific insights and real-time updates.
86.5
Avg Likes/Tweet
484.0
Avg Retweets/Tweet
280,139
Total Likes
1,566,745
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
6
Median Retweets
189
75th Percentile
248,390
Top Tweet
9.65
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
26.6%
Original
17.3%
Replies
33.5%
Retweets
22.6%
Quotes
0.0%
Threads
0.1%
With Media
63.8%
With Links
9.4%
With #Tags
53.1%
With @Mentions
12.4%
With Emojis
128
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.65
Reply/Original Ratio
0.68
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.8%
Weekday Posts
19.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 tweetsContent Type Distribution
Content Breakdown
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 1,083 retweets (33% 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 3,237 tweetsEngagement 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 followersHis audience is primarily interested in geoscience, climate change, and natural disasters. They likely include students, researchers, and weather enthusiasts.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
100.0%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
8,948,120
Total Potential Reach
30
Median Follower Reach
131
75th Percentile Reach
4.3%
>1K followers
0.6%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,132
Protected Accounts
11.32% 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 |
|---|---|---|---|
| @alvarezrodrich | 2,161,408 | Journalist | Politics, Journalism, Peru |
| @miseliti | 1,377,318 | Actriz-Cantante | Actriz, Canta, Teatro |
| @reddeemergencia | 1,067,844 | Emergency Response | Emergency Response, Citizen Corporation, National Network |
| @Leaobutron | 377,983 | Futbolista | Futbol, Administración, Entrenador |
| @marypilih | 374,550 | Periodista | Music, Journalism, Psychology |
| @Noridaoficial | 183,137 | Actriz | Actriz, Productora, Emprendimiento |
| @democratwico | 109,322 | Politician | Politics, Activism, Community |
| @brbrasseur | 99,726 | Educator | Education, Travel, Writing |
| @Lobogris1969 | 93,389 | Unknown | Venezuela, mature, wolf |
| @parischiquitoo | 75,936 | Traveler | Viajes, Cultura, Naturaleza |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,089
Followers With Bio
4,911
Followers Without Bio
50.89%
% With Bio
49.11%
% 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 $15Viral Tweets
Top 5 by likes+RTs from 3,237 analyzed548,024
Combined Engagement
0
Total Likes
548,024
Total Retweets
109,605
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
RT @arron_crascall: Safety Tips Don’t Work! https://t.co/8uPm5BnUiK
RT @ManCity: CHAMPIONS OF EUROPE!!! 🏆 https://t.co/n8dXDvOZyp
RT @afa: #NuevaFotoDePerfil https://t.co/wcQ7O2mop0
RT @SnoopDogg: Should I run Twitter ?
Key Insights & Takeaways
He frequently shares data on recent earthquakes and their impacts, providing context and scientific explanations. He highlights active climate phenomena such as El Niño and rising ocean temperatures, linking them to weather patterns. He uses his platform to discuss volcanic activity and its potential effects on the environment and human populations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,100
- + 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 @patriciov reveals an well-established Twitter presence with 59,100 followers. The account demonstrates a content-creator strategy, averaging 570.6 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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