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Nature Physics engagement report

@NaturePhysics - 512K followers on X

Measured over 14 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 512K followers
Per impression
0.853%
9.9K views on a typical post
Reach
1.93%
of its followers see a post
Typical post
84
interactions (median)
Saved
0.162%
16 bookmarks on a typical post
Posting rate
0.47/day
active 7% of days
Peak time
15:00 UTC
Monday

A typical post picks up 84 interactions against 512K followers, an engagement rate of 0.017%. Measured over 14 original posts, its engagement rate beats 38% of 3,792 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 9.9K times each, and 0.853% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 50% carry an image or video and 100% link out. The account's strongest tracked post pulled 187 interactions, about 2.2x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on August 27, 2026.

Compared with accounts its own size

Nature Physics's engagement rate beats 38% of the tracked X accounts closest to it in follower count (3,792 accounts, accounts of similar size (decile 7 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 46% 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 0.017%, Nature Physics sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.012%
50th percentile0.08%
75th percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Oct 14, 20252.2x 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

    1262634121K viewsView on X
  • Aug 10, 20262.0x 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

    132292114K viewsView on X
  • Aug 10, 20261.7x 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

    119195114K viewsView on X
  • Jul 21, 20261.7x 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 12, 20261.6x 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

    108222211K viewsView on X
  • Jul 17, 2026

    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

    9722107.4K viewsView on X
  • Aug 10, 2026

    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

    10690116K viewsView on X
  • Aug 12, 2026

    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

    8311328.5K viewsView on X
  • Jul 21, 2026

    Impulsive ionization initiates ultrafast electron motion in molecules, but its early dynamics remain difficult to probe. Now attosecond X-ray absorption spectroscopy has been used to track the response dynamics of ionized para-aminophenol. https://t.co/3Nqur8Nzr5 https://t.co/KXw9cXbn3D

    75170115K viewsView on X
  • Aug 12, 2026

    Wigner crystals have been observed in 2D semiconductors, but their internal dynamics have been largely inaccessible. Now this is demonstrated in a monolayer semiconductor. https://t.co/yVmjBICZTa https://t.co/MaJEQaA9Dn

    74140312K 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 84 interactions against 512K followers, an engagement rate of 0.017%. Measured over 14 original posts, its engagement rate beats 38% of 3,792 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 9.9K times each, and 0.853% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 50% carry an image or video and 100% link out. The account's strongest tracked post pulled 187 interactions, about 2.2x its own typical post.

What is Nature Physics's engagement rate on X?
Nature Physics (@NaturePhysics) has an engagement rate of 0.017%, based on the median interactions across 14 original posts from the last 30 days against 512,327 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Nature Physics sits above the 25th percentile of the 36,654 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 38% of the tracked X accounts closest to it in follower count (3,792 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 15:00 UTC, and Monday is its busiest day, at roughly 0.47 posts per day across the measured window.

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