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Nature Physics engagement report

@NaturePhysics - 531K followers on X

Measured over 11 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Middle of its size range
Per follower
0.012%
of 531K followers
Per impression
0.725%
9.0K views on a typical post
Reach
1.72%
of its followers see a post
Typical post
65
interactions (median)
Saved
0.245%
22 bookmarks on a typical post
Posting rate
0.37/day
active 7% of days
Peak time
12:00 UTC
Thursday

A typical post picks up 65 interactions against 531K followers, an engagement rate of 0.012%. Measured over 11 original posts, its engagement rate beats 37% 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 9.0K times each, and 0.725% of those impressions turn into an interaction. That is about 1.69% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 27% carry an image or video and 100% link out. The account's strongest tracked post pulled 200 interactions, about 3.1x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on September 19, 2026.

Compared with accounts its own size

Nature Physics's engagement rate beats 37% 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 39% 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 0.012%, Nature Physics sits above 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 12:00 UTC, and Thursday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video27% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 27% 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 239 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

  • Oct 14, 20253.1x their median

    This month we celebrate Nature Physics' twentieth birthday, consider the flexoelectricity of water ice, and feature a Perspective on chiral phonons. Have a look at https://t.co/rw5cog4BOn https://t.co/OwMT0XrVGr

    1372834124K viewsView on X
  • Aug 10, 20262.5x their median

    Altermagnetism has been experimentally demonstrated in fermionic systems, but not yet in photonic systems. Now it is observed in a magnetophotonic crystal. https://t.co/NE65QYNtGs https://t.co/BOXeCWphNd

    129282114K viewsView on X
  • Jul 21, 20262.1x their median

    Silicon–vacancy spins can be used in phononic quantum devices, but improvements in coherence times are still required. It has now been shown that the spin coherence can be protected by continuous driving using acoustic waves. https://t.co/szBkgzQauu https://t.co/xlYSkpFyf4

    115211216K viewsView on X
  • Aug 10, 20262.1x their median

    Topological phases can be hard to distinguish with local measurements. Now, a transition between two such phases has been revealed in ultracold erbium atoms, and shown to disappear when two systems are stacked or information about disorder is lost. https://t.co/PzSfjoqJRS

    115184114K viewsView on X
  • Aug 12, 20262.1x their median

    Systems of coupled self-propulsive components, both biological and synthetic, display coordinated dynamics. Experiments with 3D printed motors now show that rotary motion can lead to spatiotemporal order as well as disorder-induced wave propagation. https://t.co/uc7e6TqiU7 https://t.co/i3UgJwGlBQ

    109212211K viewsView on X
  • Sep 11, 20261.9x their median

    A trion fluid—which forms when excitons bind to an extra electron or hole—is expected to exhibit a Hall effect in magnetic fields. Now, this is demonstrated in electron–hole double layers. https://t.co/QZEAHgZCsk https://t.co/W8boVZI9Li

    103141313K viewsView on X
  • Jul 17, 20261.8x their median

    Quantum error correction typically encodes one logical qubit across many physical qubits. An experiment now encodes and corrects a qubit within the multiple internal states of a single trapped ion, reducing errors and extending the coherence time. https://t.co/EuaRn7DDpr https://t.co/mWAsH5hMif

    9722107.5K viewsView on X
  • Aug 10, 20261.8x their median

    Dualities between different models are an important tool in theoretical many-body physics. Here a constructive recipe is given for topological interfaces between dual models that are transparent to wavepackets but alter their properties. https://t.co/oEI46CjaPm

    10680117K viewsView on X
  • Sep 3, 20261.6x their median

    Creation and annihilation of topological defects are prevalent in active materials. It is now shown that in living systems with nematic order, polar propulsion breaks mirror symmetry during these processes. https://t.co/14L1tEQBnx https://t.co/gZmBEh5Wi9

    8616219.1K viewsView on X
  • Aug 12, 20261.5x their median

    Wigner crystals have been observed in transition metal dichalcogenides, but their collective excitations have not been shown. Now the signatures of these excitations are revealed in the optical spectra of a charge-tunable monolayer semiconductor. https://t.co/0eFRI2mmpW

    8411328.8K 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 65 interactions against 531K followers, an engagement rate of 0.012%. Measured over 11 original posts, its engagement rate beats 37% 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 9.0K times each, and 0.725% of those impressions turn into an interaction. That is about 1.69% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 27% carry an image or video and 100% link out. The account's strongest tracked post pulled 200 interactions, about 3.1x its own typical post.

What is Nature Physics's engagement rate on X?
Nature Physics (@NaturePhysics) has an engagement rate of 0.012%, based on the median interactions across 11 original posts from the last 30 days against 530,629 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.012%, Nature Physics sits above 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 @NaturePhysics have real engagement?
Its engagement rate beats 37% 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 @NaturePhysics post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 0.37 posts per day across the measured window.

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