Science Badan Riset dan Inovasi Nasional

Science Badan Riset dan Inovasi Nasional

@science_BRIN

Akun Twitter Resmi Science Badan Riset dan Inovasi Nasional

Indonesia https://t.co/ga9rt0Ylwp Joined 2010-11-26 Date of Analysis: Dec 16, 2025

119,595

Followers

136

Following

12,478

Tweets

55.9

Avg Engagement

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @science_BRIN'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:2010-11-26
  • Verification:No
  • Location:Indonesia

Data Summary

  • Tweets Analyzed:3,198
  • Avg Likes per Tweet:15.1
  • Avg Retweets per Tweet:40.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,198 tweets

The account maintains a steady level of engagement with an average of 1,047 likes and 711 retweets per tweet. The content is well-received, with a notable number of interactions on impactful and visually appealing posts.

15.1

Avg Likes/Tweet

40.8

Avg Retweets/Tweet

48,219

Total Likes

130,559

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

2

Median Retweets

21

75th Percentile

13,167

Top Tweet

0.47

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

30.7%

Original

57.0%

Replies

11.4%

Retweets

0.9%

Quotes

0.0%

Threads

0.0%

With Media

63.1%

With Links

73.3%

With #Tags

20.9%

With @Mentions

1.1%

With Emojis

225

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.85

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

81.7%

Weekday Posts

18.3%

Weekend Posts

Top Hashtags

#lipi (1461) #sahabatlipi (965) #lipi53 (434) #inovasiindonesia (287) #brin (220) #covid19 (168) #indonesiamaju (131) #lawancovid19 (117) #lipipedia (116) #bangkituntukindonesiamaju (75)

Most Mentioned

@jokowi (106) @scienceexpoid (70) @kemensetnegri (59) @kemenristekbrin (52) @bnpb_indonesia (33) @lipiindonesia (26) @crahmadi (25) @kementerianlhk (23) @lapan_ri (23) @mzb1894 (22)

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 3,198 tweets

Content Type Distribution

Content Breakdown

Original Tweets 983 (31%)
Replies 1,822 (57%)
Retweets 365 (11%)
Quote Tweets 28 (1%)

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 365 retweets (11% 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 3,198 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 50,000 followers

The primary audience includes science enthusiasts, students, educators, and the general public interested in research and innovation. The content is tailored to be informative and accessible to a broad demographic.

Average

Audience Quality

29.0%

Suspicion Index

31.0%

Low-Quality %

6

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

30.3%

Empty Bio

45.1%

<10 Tweets

2.9%

Mass Following (>2K)

0.0%

New (<90 days)

70.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.3%

No URL

31.8%

<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.

9,952,049

Total Potential Reach

6

Median Follower Reach

41

75th Percentile Reach

1.8%

>1K followers

0.2%

>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).

32.1%

Creators

16,051 accounts

22.8%

Consumers

11,387 accounts

45.1%

Dormant

22,562 accounts

17

Verified Followers

0.03% of total

1.3%

Professional Bios

founder, dev, analyst, etc.

0.04

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):

Indonesia (1,904) Jakarta Capital Region (591) Yogyakarta, Indonesia (323) Jakarta (296) Kota Surabaya, Jawa Timur (223) DKI Jakarta, Indonesia (197) indonesia (196) Bandung, Jawa Barat (152) Bogor, Jawa Barat (126) Malang, Jawa Timur (112)

56

Verified Followers

0.06% of total

17,581

Protected Accounts

17.41% 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
@susipudjiastuti 3,444,617 Entrepreneur aviation, entrepreneurship, fishing
@Pak_JK 2,892,797 Politician Politics, Indonesia, Government
@fadlizon 1,831,994 Politician Politics, YouTube, Library
@mediaindonesia 1,736,086 News Editor News, Journalism, Editorial
@kemkominfo 1,352,926 - -
@Beritasatu 1,047,004 Media Media, Holdings, TV
@unpad 979,719 University Education, Global Impact, Innovation
@itbofficial 928,234 Education Education, Technology, Research
@kementan 869,210 Government Agriculture -
@ivanlanin 826,563 Linguist bahasa Indonesia, narabahasa, kapitulis

Top Keywords in Follower Bios

yang (3,914) hidup (1,902) indonesia (1,843) yg (1,378) akun (1,347) orang (1,283) allah (1,109) life (1,080) suka (977) love (962)

Top Hashtags in Follower Bios

#ynwa (41) #indonesia (23) #ggmu (21) #nkri (15) #blogger (14) #mufc (14) #bitcoin (14) #ktbffh (14) #2019gantipresiden (13) #gakfollowporno (12)

68,412

Followers With Bio

32,583

Followers Without Bio

67.74%

% With Bio

32.26%

% 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 3,198 analyzed

42,241

Combined Engagement

4,409

Total Likes

37,832

Total Retweets

8,448

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

20%

With Links

Topical Analysis:

Science Nature Education Public Awareness Research Innovation Conservation

Key Insights & Takeaways

The account frequently shares visually engaging content such as nature phenomena and scientific events, which likely drives higher engagement. It highlights important figures and milestones, such as the passing of notable individuals, which adds emotional and historical value to the content. The account promotes educational resources like e-books, indicating a focus on public education and accessibility to scientific information.

Strengths

  • + Established follower base of 119,595
  • + 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 @science_BRIN reveals an growing Twitter presence with 119,595 followers. The account demonstrates a conversation-first approach, averaging 55.9 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