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Tsinghua University engagement report

@Tsinghua_Uni - 780K followers on X

Measured over 100 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 780K followers
Per impression
0.371%
4.0K views on a typical post
Reach
0.52%
of its followers see a post
Typical post
15
interactions (median)
Saved
0.025%
1 bookmarks on a typical post
Posting rate
4.73/day
active 80% of days
Peak time
11:00 UTC
Monday

A typical post picks up 15 interactions against 780K followers, an engagement rate of 0.002%. Measured over 100 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.0K times each, and 0.371% of those impressions turn into an interaction. That is about 0.519% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 100 posts sampled, 99% carry an image or video and 7% are part of a thread. The account's strongest tracked post pulled 237 interactions, about 16x its own typical post. Recurring topics include #china, #culture, #data.

Measured over 100 original posts from a 30-day window, last computed on September 28, 2026. Recurring tags: #china, #culture, #data.

Compared with accounts its own size

Tsinghua University's engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 25% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.002%, Tsinghua University sits below the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 11:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video99% of posts+111%+108% to +115%34K
Outbound link2% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 99% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 2% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 270 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 1, 202616x their median

    AI that improves AI. Innovative Tsinghua researchers built Frontis-MA1, a model that writes, debugs, and refines ML code. It pushed success rates from 39% to 71% on benchmark tasks while running on a single consumer GPU, closing in on much larger closed-source models. https://t.co/jTVjBcu4q0

    2051810441K viewsView on X
  • Sep 7, 20269.6x their median

    Prof. Zhou Bowen @TsinghuaEE, Director & Chief Scientist of Shanghai AI Laboratory, was named to the 2026 @TIME 100 AI “Thinkers” list. His work brings a Chinese perspective to global AI safety, advancing understanding of intelligence and responsible real-world deployment. https://t.co/CiXTQECrQH

    124172112K viewsView on X
  • Sep 4, 20265.5x their median

    A fresh start at Tsinghua! At the 2026 Graduate Student Opening Convocation, incoming NextGen gathered to say Hello, Tsinghua! Embracing new opportunities and looking ahead to a journey of learning, discovery, and growth. https://t.co/vYBuAZGjVh

    7245111K viewsView on X
  • Sep 20, 20265.3x their median

    “I love the expression of words, but music gives me more possibilities to express what words cannot,” says TsinghuaRen Qu Xiaonan (China), a PhD from Dept. of Chinese Language and Literature. A lifelong lover of poetry & music, she sees music as her own “free land" to breathe. https://t.co/7yohnwVVPX

    6972122K viewsView on X
  • Sep 27, 20264.8x their median

    Assistant Prof. Yu Chao from @TsinghuaSIGS has been listed as one of the Pioneers of the Innovators Under 35 Asia Pacific 2026 @techreview. Her RLinf framework brings model training, computing, and robots together for smarter, continual learning. https://t.co/yVYs0zTbt4

    6543013K viewsView on X
  • Sep 7, 20264.3x their median

    “If we only needed journalists to describe events, cameras would have ended the profession,” says TsinghuaRen Fattouma Ben Abdallah (UK), a new master’s student in the School of Social Sciences. An @UniofOxford graduate, she values collaboration & curiosity. https://t.co/mSmJRO6M8f

    5941012K viewsView on X
  • Sep 6, 20264.3x their median

    Robots are learning to see the world differently. Prof. Zhao Mingguo's Innovative Tsinghua team, in @SciRobotics, fused perception into motor control, cutting tracking errors by 46%, enabling simulation-trained robots to adapt to real terrain and light - no retraining needed. https://t.co/sNACvAlNe4

    595007.8K viewsView on X
  • Aug 20, 20263.9x their median

    A warm welcome to Tsinghua for our Class of 2030! Thrilled to embrace diversity at Tsinghua by bringing together undergrads from over 40 countries for a fresh start at Tsinghua. May today's opening ceremony be the start of an unforgettable and fruitful journey! https://t.co/2MkvcsIxAg

    525019.6K viewsView on X
  • Sep 21, 20263.8x their median

    The world’s first autonomous ultrasound robot-guided cardiac procedure has just been completed. Associate Professor Huang Gao’s Innovative Tsinghua team developed an AI system that autonomously locates standard cardiac views, replacing shaky, fatigue-inducing handheld probes. https://t.co/vnb9YF5MYN

    4213206.0K viewsView on X
  • Aug 18, 20263.5x their median

    Hey Class of 2030 👋, welcome to Tsinghua! A new chapter begins as you explore diversity at Tsinghua, uncover campus stories through Tsinghua tips, and embrace new friendships and possibilities. https://t.co/46ZNQKV8UC

    2227406.7K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#china#culture#data#europe#gras

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 15 interactions against 780K followers, an engagement rate of 0.002%. Measured over 100 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.0K times each, and 0.371% of those impressions turn into an interaction. That is about 0.519% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 100 posts sampled, 99% carry an image or video and 7% are part of a thread. The account's strongest tracked post pulled 237 interactions, about 16x its own typical post. Recurring topics include #china, #culture, #data.

What is Tsinghua University's engagement rate on X?
Tsinghua University (@Tsinghua_Uni) has an engagement rate of 0.002%, based on the median interactions across 100 original posts from the last 30 days against 780,474 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Tsinghua University sits below the 10th percentile of the 204,956 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @Tsinghua_Uni have real engagement?
Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @Tsinghua_Uni post?
Most posts go out around 11:00 UTC, and Monday is its busiest day, at roughly 4.73 posts per day across the measured window.

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