PNASNews
Cutting-edge news & reports from PNAS, one of the world's most-cited scientific journals, sibling journal of @PNASNexus & an official journal of @theNASciences.
176,482
Followers
1,324
Following
15,949
Tweets
14.4
Avg Engagement
2,506
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PNASNews'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:2011-02-28
- Verification:No
- Location:Washington, DC
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:9.9
- Avg Retweets per Tweet:4.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has moderate engagement with an average of 288 likes and 110 retweets per tweet. The verified status is low, suggesting a mix of public and non-verified followers.
9.9
Avg Likes/Tweet
4.4
Avg Retweets/Tweet
32,260
Total Likes
14,442
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
16
75th Percentile
858
Top Tweet
0.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
92.6%
Original
1.1%
Replies
6.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.5%
With Media
94.2%
With Links
32.9%
With #Tags
23.3%
With @Mentions
0.3%
With Emojis
232
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
99.6%
Weekday Posts
0.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 203 retweets (6% 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 3,250 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 50,000 followersThe primary audience includes scientists, researchers, and science enthusiasts interested in the latest findings. It also attracts policymakers and the general public seeking credible scientific information.
Average
Audience Quality
24.2%
Suspicion Index
28.0%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.3%
Empty Bio
34.3%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
46.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.2%
No URL
23.6%
<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.
46,759,881
Total Potential Reach
39
Median Follower Reach
178
75th Percentile Reach
6.0%
>1K followers
0.7%
>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).
40.1%
Creators
20,032 accounts
25.6%
Consumers
12,801 accounts
34.3%
Dormant
17,167 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):
546
Verified Followers
0.54% of total
9,351
Protected Accounts
9.26% 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 |
|---|---|---|---|
| @JohnCena | 14,100,497 | Wrestler | Wrestling, Motivation, Self-promotion |
| @muyinteresante | 8,348,258 | Science Communication | ciencia, historia, tecnología |
| @JoseAMeadeK | 1,600,051 | Politician | Family, Economics, Law |
| @NIMHgov | 1,169,797 | Researcher | Research, Mental Disorders, Federal Agency |
| @physorg_com | 1,013,864 | Science News | Physics, Space, Biology |
| @hubermanlab | 983,740 | Neuroscientist | Neuroscience, Research, Education |
| @ulil | 810,698 | Scholar | Islam, Scholar, Traditional |
| @Tsinghua_Uni | 712,280 | Education | Education, Research, Beijing |
| @pucp | 651,372 | Education | Education, Research, Culture |
| @JorgePontual | 622,723 | Journalist | News, International Affairs, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
73,340
Followers With Bio
27,655
Followers Without Bio
72.62%
% With Bio
27.38%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed2,819
Combined Engagement
1,713
Total Likes
1,106
Total Retweets
564
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Increased complexity and heterogeneity in agricultural landscapes is associated with greater #biodiversity, according to a study. In PNAS: https://t.co/oDSSaF4MJC https://t.co/CtM2sgQ9Ef
DNA from the SARS-CoV-2 virus can integrate into host genomes, which may explain why some people continue to test positive for #COVID19 via PCR tests without any detectable infectious virus. In PNAS: https://t.co/NswRpHcXvS https://t.co/3joMkYwhId
How to avoid “dinosaur in a parking lot” depictions of life millions of years ago: include flora, not just fauna. Artists join paleobotanists to bring ancient #plants to life. A PNAS Science and Culture: https://t.co/i48esi6EUX #dinosaurs #paleobotany #paleontology #paleoart http
RT @jrockstrom: Without biodiversity rich ecosystems on land we would have exceeded the 1.5°C Paris climate limit already today, with devas…
Reintroducing bison into grassland prairies can increase native plant species richness by 86% compared with ungrazed areas, a study in the Flint Hills region of Kansas suggests. In PNAS: https://t.co/qIoK3EijWF #nativeplants https://t.co/AffgUhc6jt
Key Insights & Takeaways
The account highlights research with real-world implications, such as biodiversity in agriculture and the persistence of SARS-CoV-2 in PCR tests. It emphasizes interdisciplinary collaboration, such as artists working with scientists to depict ancient ecosystems. It leverages its association with PNAS to establish credibility and authority in scientific communication.
Strengths
- + Established follower base of 176,482
- + 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 @PNASNews reveals an growing Twitter presence with 176,482 followers. The account demonstrates a content-creator strategy, averaging 14.4 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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