Back to @QuantaMagazine's profile

Quanta Magazine engagement report

@QuantaMagazine - 368K followers on X

Measured over 70 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Middle of its size range
Per follower
0.032%
of 368K followers
Per impression
0.98%
12K views on a typical post
Reach
3.25%
of its followers see a post
Typical post
117
interactions (median)
Saved
0.339%
40 bookmarks on a typical post
Posting rate
2.47/day
active 60% of days
Peak time
20:00 UTC
Friday

A typical post picks up 117 interactions against 368K followers, an engagement rate of 0.032%. Measured over 70 original posts, its engagement rate beats 51% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 0.98% of those impressions turn into an interaction. That is about 3.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 20:00 UTC, and Friday is the busiest day of the week. Of the 70 posts sampled, 44% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.1K interactions, about 9.7x its own typical post.

Measured over 70 original posts from a 30-day window, last computed on October 4, 2026.

Compared with accounts its own size

Quanta Magazine's engagement rate beats 51% 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 47% 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 0.032%, Quanta Magazine sits above the 25th percentile of the 205,048 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 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 20:00 UTC, and Friday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video44% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 44% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 300 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Aug 25, 20269.7x their median

    When a crystal is placed near a magnet, its electrons can only have certain amounts of energy. When this phenomenon is graphed, fractal patterns called Cantor sets emerge. https://t.co/eZRP500zLx https://t.co/PfrkNi3GzN

    955132251833K viewsView on X
  • Sep 8, 20267.8x their median

    This morning, mathematicians at OpenAI announced that a group of 10,000 autonomous AI agents under their direction proved that the Navier-Stokes equations can “blow up,” thus solving one of the six remaining Millennium Prize Problems. But this massive result is not without controversy. https://t.co/I0f1hwvETo

    667193351445K viewsView on X
  • Aug 28, 20267.8x their median

    John von Neumann, a 23-year-old prodigy, was the first to recognize and define the quantum world as a Hilbert space. Once he did, exploring the ins and outs of Hilbert space would lead physicists to a deeper, more unified understanding of quantum physics. https://t.co/lUMqdRj69S https://t.co/YJmHMYQNGO

    742121351136K viewsView on X
  • Aug 31, 20267.4x their median

    As a child, Hannah Cairo learned math by taking online lessons from Khan Academy. By the time she was 14, she had taught herself the equivalent of an advanced undergraduate math degree. https://t.co/gTOeUIa9cZ

    74991191152K viewsView on X
  • Sep 27, 20266.7x their median

    In the 1990s, physicist Leonard Susskind proposed that black holes are literally holograms, that everything happening inside can be observed from the outside. “I thought it was a little bit crazy,” Susskind said, “but I thought it was the least crazy of all the possibilities.” https://t.co/XgsJ4yvzbM

    6658522953K viewsView on X
  • Sep 4, 20266.4x their median

    Entropy — a term commonly thought of as a measure of disorder — is now known to change depending on the observer. Anthony Aguirre has defined a quantity he calls observational entropy that other researchers say helps to clarify ambiguity around this phenomenon. https://t.co/65yqxATyar

    594123231344K viewsView on X
  • Aug 26, 20266.0x their median

    “A bird with a 10-gram brain is doing pretty much the same as a chimp with a 400-gram brain,” said Onur Güntürkün, who studies brain structures at Ruhr University Bochum in Germany. “How is it possible?” https://t.co/714Lo8Hzug

    568101181634K viewsView on X
  • Sep 5, 20264.7x their median

    This “living crystal” is a clump of rotating, jiggling starfish embryos in the lab of the biophysicist Nikta Fakhri. It embodies a state of matter known as an odd material that may have previously unknown biological functions. https://t.co/ZSZybpuwFn https://t.co/WInfMTjxC1

    473688348K viewsView on X
  • Aug 28, 20264.1x their median

    In 1870, the Norwegian mathematician Marius Sophus Lie was in France when the Franco-Prussian War broke out. His geometry notes were mistaken for encoded German messages, and he was arrested, accused of being a spy. Today, his work on group symmetries has revolutionized math and physics. https://t.co/xzS35CapVH

    380855522K viewsView on X
  • Aug 29, 20264.0x their median

    Hyperbolic surfaces are impossible to imagine, but aspects of their geometry are still mathematically accessible. To study these mysterious shapes, mathematicians measure how connected they are. Here’s what that means: https://t.co/5OfOYZvTYQ https://t.co/4V28PbLgGv

    397658121K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 117 interactions against 368K followers, an engagement rate of 0.032%. Measured over 70 original posts, its engagement rate beats 51% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 0.98% of those impressions turn into an interaction. That is about 3.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 20:00 UTC, and Friday is the busiest day of the week. Of the 70 posts sampled, 44% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.1K interactions, about 9.7x its own typical post.

What is Quanta Magazine's engagement rate on X?
Quanta Magazine (@QuantaMagazine) has an engagement rate of 0.032%, based on the median interactions across 70 original posts from the last 30 days against 368,277 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.032%, Quanta Magazine sits above the 25th percentile of the 205,048 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 @QuantaMagazine have real engagement?
Its engagement rate beats 51% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @QuantaMagazine post?
Most posts go out around 20:00 UTC, and Friday is its busiest day, at roughly 2.47 posts per day across the measured window.

Keep going