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Quanta Magazine engagement report

@QuantaMagazine - 366K followers on X

Measured over 40 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.039%
of 366K followers
Per impression
1.18%
12K views on a typical post
Reach
3.32%
of its followers see a post
Typical post
144
interactions (median)
Saved
0.424%
52 bookmarks on a typical post
Posting rate
1.33/day
active 27% of days
Peak time
20:00 UTC
Tuesday

A typical post picks up 144 interactions against 366K followers, an engagement rate of 0.039%. Measured over 40 original posts, its engagement rate beats 47% of 6,874 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 1.18% of those impressions turn into an interaction. That is about 3.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 33% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.1K interactions, about 7.8x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

Quanta Magazine's engagement rate beats 47% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 52% 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 0.039%, Quanta Magazine sits above the 25th percentile of the 66,128 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 Tuesday 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video33% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 33% 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 248 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

  • Aug 25, 20267.8x 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
  • Aug 28, 20266.3x 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, 20265.9x 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

    72888181149K viewsView on X
  • Aug 26, 20264.9x 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
  • Aug 28, 20263.3x 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, 20263.3x 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
  • Aug 31, 20263.0x their median

    The week before Christmas 2025, five mathematicians were holed up at ETH Zurich with a singular goal: perfecting a solution to one of the biggest open problems in percolation theory. By Christmas, they had the proof. https://t.co/VGYpIliAEA

    353664979K viewsView on X
  • Aug 30, 20262.5x their median

    In the 1920s, two distinct forms of quantum mechanics developed back-to-back: Werner Heisenberg’s “matrix mechanics” and Erwin Schrödinger’s “wave mechanics,” two radically different incarnations of one theory. But what was the theory? It was this question that fascinated mathematician David Hilbert, and later, his protégé John von Neumann. https://t.co/gtfngQGtE4

    2924414717K viewsView on X
  • Aug 27, 20262.5x their median

    Two leading neuroscientists have built a new framework for categorization, arguing that the brain categorizing concepts like “clown” or “fear” is an ongoing predictive tool that the nervous system uses to keep an organism alive. https://t.co/CNvqITutnc https://t.co/308FwOCaZb

    288539629K viewsView on X
  • Aug 27, 20262.3x their median

    Quantum mechanics was developed 100 years ago. Today, it's helping to build the machines of the future, like nuclear clocks and quantum computers, which derive their power from the ability of quantum objects to sustain multiple simultaneous possibilities. https://t.co/HKlGPhQru2

    279508013K 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.

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Reading these numbers

A typical post picks up 144 interactions against 366K followers, an engagement rate of 0.039%. Measured over 40 original posts, its engagement rate beats 47% of 6,874 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 1.18% of those impressions turn into an interaction. That is about 3.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 33% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.1K interactions, about 7.8x its own typical post.

What is Quanta Magazine's engagement rate on X?
Quanta Magazine (@QuantaMagazine) has an engagement rate of 0.039%, based on the median interactions across 40 original posts from the last 30 days against 366,268 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.039%, Quanta Magazine sits above the 25th percentile of the 66,128 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 47% of the tracked X accounts closest to it in follower count (6,874 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 Tuesday is its busiest day, at roughly 1.33 posts per day across the measured window.

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