Tomàs Molina

Tomàs Molina

@TomasMolinaB

Physicist and Journalist #EUClimatePact Ambassador Chief Meteorologist @tv3cat Associate Professor @UniBarcelona

Catalunya https://www.facebook.com/unsupportedbrowser Joined 2011-02-02 Date of Analysis: Dec 16, 2025

113,802

Followers

1,105

Following

37,542

Tweets

208.2

Avg Engagement

899

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TomasMolinaB'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:2011-02-02
  • Verification:No
  • Location:Catalunya

Data Summary

  • Tweets Analyzed:3,220
  • Avg Likes per Tweet:18.4
  • Avg Retweets per Tweet:189.7
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,220 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is both informative and relatable, encouraging discussion and sharing.

18.4

Avg Likes/Tweet

189.7

Avg Retweets/Tweet

59,272

Total Likes

610,979

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

4

Median Retweets

18

75th Percentile

151,017

Top Tweet

1.83

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

5.5%

Original

17.4%

Replies

73.1%

Retweets

4.0%

Quotes

0.0%

Threads

0.9%

With Media

84.6%

With Links

44.0%

With #Tags

92.1%

With @Mentions

24.8%

With Emojis

184

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.17

Reply/Original Ratio

0.05

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

80.9%

Weekday Posts

19.1%

Weekend Posts

Top Hashtags

#eltempstv3 (332) #324eltemps (119) #meteo (81) #barcelona (46) #andorra (46) #deltadelebre (44) #gava (40) #badalona (36) #infok (31) #deltebre (30)

Most Mentioned

@tomasmolinab (1570) @eltempstv3 (985) @meteomauri (622) @meteocat (523) @vakapiupiu (392) @soniapapell (391) @alfredrpico (373) @alcantara_alb (339) @gemmapuigf (337) @alexmegapc (322)

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Content Strategy Analysis

Based on 3,220 tweets

Content Type Distribution

Content Breakdown

Original Tweets 177 (5%)
Replies 561 (17%)
Retweets 2,353 (73%)
Quote Tweets 129 (4%)

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 2,353 retweets (73% 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 3,220 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

His audience includes science enthusiasts, climate change advocates, and general public interested in weather and environmental issues. He also reaches out to students and academics through his academic affiliations.

Average

Audience Quality

28.4%

Suspicion Index

46.6%

Low-Quality %

12

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

65.4%

Empty Bio

38.7%

<10 Tweets

3.5%

Mass Following (>2K)

0.0%

New (<90 days)

52.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.2%

No URL

27.7%

<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.

2,707,620

Total Potential Reach

12

Median Follower Reach

64

75th Percentile Reach

3.2%

>1K followers

0.4%

>10K followers

0.1%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

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

39.2%

Creators

3,924 accounts

22.1%

Consumers

2,209 accounts

38.7%

Dormant

3,867 accounts

9

Verified Followers

0.09% of total

2.8%

Professional Bios

founder, dev, analyst, etc.

0.09

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):

Barcelona (336) Catalunya (180) Barcelona, Spain (152) Barcelona, España (91) Barcelona, Cataluña (66) Barcelona, Catalunya (47) Catalonia, Spain (43) Barcelona, Espanya (32) Tarragona, Espanya (27) España (25)

9

Verified Followers

0.09% of total

734

Protected Accounts

7.34% 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
@naciodigital 226,400 News outlet Actualitat, Catalunya, Digital
@AEMET_Canarias 151,506 Meteorologist Meteorology, Weather, Canarias
@JasonLRobinson 73,522 Entrepreneur Sustainability, Television, Environment
@ecovidrio 64,996 Recycling reciclaje, vidrio, sostenibilidad
@TienesTipex 64,317 Multitasker Creatividad, Productividad, Humor
@PalabrasdePepe 62,193 - -
@nickhedley 62,177 - -
@isayolsanta 54,159 Engineer Family, Work, Barcelona
@locaperdidita 34,016 - -
@ConchiLillo 32,419 - -

Top Keywords in Follower Bios

vida (139) barcelona (92) catalunya (88) musica (60) catala (58) social (55) sempre (53) catalana (50) amant (43) mare (43)

Top Hashtags in Follower Bios

#catalunya (6) #barcelona (5) #rcde (4) #tarragona (3) #bitcoin (3) #tech (3) #meteo (3) #actualidad (2) #administracio (2) #bergueda (2)

3,461

Followers With Bio

6,539

Followers Without Bio

34.61%

% With Bio

65.39%

% 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 3,220 analyzed

371,419

Combined Engagement

0

Total Likes

371,419

Total Retweets

74,284

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Climate Change Meteorology Science Communication Journalism Education

Key Insights & Takeaways

He uses personal observations to make climate science accessible His tweets often blend scientific facts with everyday experiences He engages with his audience through relatable and timely content

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 113,802
  • + 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 @TomasMolinaB reveals an well-established Twitter presence with 113,802 followers. The account demonstrates a conversation-first approach, averaging 208.2 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