Australian Academy of Science

Australian Academy of Science

@Science_Academy

The 2023 Academy Symposium: International scientific collaborations in a contested world, was a critical national dialogue. Visit https://science.org.au/news-and-events/events/australian-academy-of-science-symposium-2023

Canberra, Australia https://science.org.au/news-and-events/events/australian-academy-of-science-symposium-2023 Joined 2011-08-01 Date of Analysis: Dec 16, 2025

66,676

Followers

3,873

Following

26,648

Tweets

57.3

Avg Engagement

722

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Science_Academy'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:2011-08-01
  • Verification:No
  • Location:Canberra, Australia

Data Summary

  • Tweets Analyzed:3,232
  • Avg Likes per Tweet:8.7
  • Avg Retweets per Tweet:48.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,232 tweets

The account consistently receives an average of 322 likes and 146 retweets per tweet, indicating strong audience interaction. Its verified status and active participation in scientific discourse contribute to its engagement levels.

8.7

Avg Likes/Tweet

48.6

Avg Retweets/Tweet

28,147

Total Likes

156,958

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

2

Median Retweets

13

75th Percentile

143,091

Top Tweet

0.86

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

32.4%

Original

46.9%

Replies

12.0%

Retweets

8.7%

Quotes

0.0%

Threads

0.8%

With Media

91.9%

With Links

58.1%

With #Tags

57.0%

With @Mentions

11.2%

With Emojis

250

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.45

Reply/Original Ratio

0.73

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

93.8%

Weekday Posts

6.2%

Weekend Posts

Top Hashtags

#shinedome22 (320) #fellowsaa (109) #surprisingscience (95) #honorifics22 (49) #womeninstem (47) #indigenousknowledges (45) #auspol (36) #datainsport (35) #stemwomenwednesday (32) #whysciencematters (32)

Most Mentioned

@science_academy (269) @shinedome (130) @csiro (100) @nanojagadish (67) @sydney_uni (60) @unimelb (53) @ouranu (44) @unsw (41) @emcrforum (41) @atse_au (40)

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Content Strategy Analysis

Based on 3,232 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,048 (32%)
Replies 1,516 (47%)
Retweets 387 (12%)
Quote Tweets 281 (9%)

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 387 retweets (12% 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 3,232 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

The primary audience includes scientists, researchers, and science enthusiasts interested in academic and research developments. The account also engages with policymakers and the general public through its educational content.

Average

Audience Quality

25.3%

Suspicion Index

27.5%

Low-Quality %

59

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

32.8%

Empty Bio

31.1%

<10 Tweets

18.1%

Mass Following (>2K)

0.0%

New (<90 days)

47.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

78.6%

No URL

22.2%

<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.

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Follower Reach & Influence

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

7,399,701

Total Potential Reach

59

Median Follower Reach

247

75th Percentile Reach

7.6%

>1K followers

0.8%

>10K followers

0.2%

>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).

46.2%

Creators

4,623 accounts

22.6%

Consumers

2,264 accounts

31.1%

Dormant

3,113 accounts

108

Verified Followers

1.08% of total

16.5%

Professional Bios

founder, dev, analyst, etc.

0.11

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):

Australia (332) Melbourne, Victoria (240) Sydney, New South Wales (205) Brisbane, Queensland (155) Melbourne, Australia (86) Perth, Western Australia (82) Sydney, Australia (76) Adelaide, South Australia (75) Sydney (57) Canberra (51)

108

Verified Followers

1.08% of total

800

Protected Accounts

8.0% of total

5 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
@CalvinHelin 581,419 Author empowerment, responsibility, self-reliance
@zammit_marc 385,178 Filmmaker Film, Acting, Producing
@AntonioParis 368,747 Planetary Scientist Space, Exploration, Military
@ColumbusShort1 253,763 Actor world changer, ORCA UNITED SOCIETY, ARTIST
@freya_cole 198,144 Journalist Environment, Journalism, Myanmar
@WMO 181,611 Meteorology weather, climate, water
@VictorianCHO 171,076 Health Officer Public Health, Epidemiology, Government Relations
@WeDontHaveTime 133,264 Climate Activist climate solutions, tree planting, review platform
@mscott 122,109 Academic Education, Writing, Journalism
@PLOSBiology 102,635 Scientist life sciences, open-access, peer-reviewed

Top Keywords in Follower Bios

phd (595) research (505) science (467) student (367) university (353) health (256) researcher (239) views (230) life (212) love (208)

Top Hashtags in Follower Bios

#science (15) #ai (14) #scicomm (13) #research (12) #phd (11) #womeninstem (10) #mentalhealth (9) #stem (8) #datascience (8) #voteyes (7)

6,716

Followers With Bio

3,284

Followers Without Bio

67.16%

% With Bio

32.84%

% 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 3,232 analyzed

146,381

Combined Engagement

2,192

Total Likes

144,189

Total Retweets

29,276

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

40%

With @Mentions

100%

With Links

Topical Analysis:

Science Communication Academic Recognition International Collaboration Scientific Research Policy Engagement
Australian Academy …
@Science_Academy

RT @NASA: It's here–the deepest, sharpest infrared view of the universe to date: Webb's First Deep Field. Previewed by @POTUS on July 11, it shows galaxies once invisible to us. The full set of @NASAWebb's first full-color images &amp; data will be revealed July 12: https://t.co

2022-07-11
Retweets: 143,091 Likes: 0 Engagement: 143,091
Australian Academy …
@Science_Academy

BREAKING: A landmark paper, published in @Nature today, warns the deep ocean circulation that forms around Antarctica could be headed for collapse, having a profound impact on marine ecosystems, according to @ProfMattEngland FAA and Dr Adele Morrison. https://t.co/CvbPNJWCy1

2023-03-29
Retweets: 852 Likes: 1,140 Engagement: 1,992
Australian Academy …
@Science_Academy

🌟CONGRATULATIONS to our new Fellows for 2023🌟 These 20 Fellows are among the Nation’s most distinguished scientists, elected by their peers for ground-breaking research &amp; contributions that have had clear impact. The Fellowship now stands at 601 Fellows https://t.co/So3z1dHjM

2023-05-24
Retweets: 107 Likes: 416 Engagement: 523
Australian Academy …
@Science_Academy

Following a tremendous three days celebrating science with Australian science’s best of the best, #ShineDome22 has come to a close. See the highlights here: https://t.co/NBWvhKB4g2 https://t.co/WJtA7oY8zQ

2022-11-25
Retweets: 76 Likes: 364 Engagement: 440
Australian Academy …
@Science_Academy

What if you actually could build Rome in a day? Prof Richard Hartley is one of the founders of Multiview Geometry, which establishes the construction of 3D models from sets of images or videos. He receives the Hannan Medal for his pioneering work. https://t.co/ZQFBHOPFdW

2023-03-13
Retweets: 63 Likes: 272 Engagement: 335

Key Insights & Takeaways

The account frequently shares breaking scientific news and major research findings, which drives engagement. It highlights significant events such as symposiums and fellowships, reinforcing its role in academic recognition. The use of hashtags and links to external resources enhances visibility and encourages further exploration.

Strengths

  • + Established follower base of 66,676
  • + 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_Academy reveals an growing Twitter presence with 66,676 followers. The account demonstrates a conversation-first approach, averaging 57.3 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