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American Physical Society engagement report

@APSphysics - 256K followers on X

Measured over 22 original posts from a 30-day window, last computed on September 9, 2026.

Engagement

Middle of its size range
Per follower
0.01%
of 256K followers
Per impression
0.583%
4.5K views on a typical post
Reach
1.77%
of its followers see a post
Typical post
26
interactions (median)
Saved
0.022%
1 bookmarks on a typical post
Posting rate
0.83/day
active 77% of days
Peak time
12:00 UTC
Friday

A typical post picks up 26 interactions against 256K followers, an engagement rate of 0.01%. Measured over 22 original posts, its engagement rate beats 26% 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 4.5K times each, and 0.583% of those impressions turn into an interaction. That is about 1.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 22 posts sampled, 100% carry an image or video and 77% link out. The account's strongest tracked post pulled 286 interactions, about 11x its own typical post. Recurring topics include #apsnews, #nationaldogday, #physicshistory.

Measured over 22 original posts from a 30-day window, last computed on September 9, 2026. Recurring tags: #apsnews, #nationaldogday, #physicshistory.

Compared with accounts its own size

American Physical Society's engagement rate beats 26% of the tracked X accounts closest to it in follower count (6,874 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 33% 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 0.01%, American Physical Society sits above the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile119.6%

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 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: 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: 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 video100% of posts+111%+108% to +115%34K
Outbound link77% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 77% 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 244 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 30, 202611x their median

    This month in #PhysicsHistory: Using Japan's Super-Kamiokande detector, scientists found neutrinos have mass, overturning a longstanding assumption about these “ghost particles.” Read more in #APSNews: https://t.co/EdeQdoSZaU https://t.co/QG84FWlXCw

    209636811K viewsView on X
  • Aug 31, 20268.6x their median

    What happens when you vibrate water covered in Styrofoam beads? In extreme conditions, the beads can behave like molecules in a solidifying glass — or form waves that shove particles aside, opening large cavities. More in Physical Review Fluids: https://t.co/T3GEVIeDcg https://t.co/zYBemFvWRK

    174366713K viewsView on X
  • Aug 5, 20265.6x their median

    A new theoretical study in Physical Review D challenges the familiar picture of black hole singularities, finding they may be more like surfaces than a single point. Read the paper: https://t.co/hdxGXezUGy https://t.co/KST5TvejDe

    113217410.0K viewsView on X
  • Aug 8, 20263.9x their median

    Using canary respiration data and a biomechanical model, a study in PRX Life shows that strong breaths push the bird’s respiratory system into a non-linear regime — allowing it to sing louder and faster than it could at its natural resonance. Read more: https://t.co/Qan6bKPw2G https://t.co/9ecM5yv2on

    76223114K viewsView on X
  • Aug 11, 20263.9x their median

    Physicists have measured the faint neutrino signal from a nuclear reactor after shutdown. The results show how these elusive particles could be used to non-intrusively monitor nuclear plants in real time. More in @physrevlett: https://t.co/cdxITB3Wqj https://t.co/LRBoT2PavA

    8019206.2K viewsView on X
  • Jul 31, 20263.6x their median

    Ever wondered why some underwater bubbles are louder than others? 🫧 A Physical Review Fluids study shows a bubble's formation volume depends on its initial size and how quickly it forms — results that could improve methods to detect underwater gas leaks: https://t.co/B9GAZp2Tsj https://t.co/rLrInLrLE3

    7517017.6K viewsView on X
  • Aug 19, 20263.0x their median

    Underwater whale tracking led to a surprising discovery: wave interference can make whale calls appear to travel faster than sound. A study in Physical Review E argues light could do the same — without violating Einstein’s theory of general relativity: https://t.co/r43nUM0bzA https://t.co/faLlLZagNV

    5820018.0K viewsView on X
  • Aug 7, 20263.0x their median

    Research in Physical Review D proposes a source for “unidentified falling objects” in @cern’s LHC: axion quark nuggets. These hypothetical dark matter clumps could affect beam performance and offer a path toward a broadband acoustic dark matter detector: https://t.co/KYF1qPaZ1z https://t.co/FOynx1SX6e

    5915217.1K viewsView on X
  • Aug 27, 20262.2x their median

    How easily could quantum computers break blockchain cryptography? New estimates show the resources needed keep shrinking, and some transactions could be attacked before they even confirm. More in PRX Quantum: https://t.co/KX7hDkqZU4 https://t.co/phInF5HVwx

    4214016.9K viewsView on X
  • Aug 2, 20262.2x their median

    This you? Maybe give us a follow @apsjournals. https://t.co/zgfuVWtICt

    477218.9K 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

#apsnews#nationaldogday#physicshistory

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 26 interactions against 256K followers, an engagement rate of 0.01%. Measured over 22 original posts, its engagement rate beats 26% 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 4.5K times each, and 0.583% of those impressions turn into an interaction. That is about 1.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 22 posts sampled, 100% carry an image or video and 77% link out. The account's strongest tracked post pulled 286 interactions, about 11x its own typical post. Recurring topics include #apsnews, #nationaldogday, #physicshistory.

What is American Physical Society's engagement rate on X?
American Physical Society (@APSphysics) has an engagement rate of 0.01%, based on the median interactions across 22 original posts from the last 30 days against 256,333 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, American Physical Society sits above the 10th percentile of the 66,258 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 @APSphysics have real engagement?
Its engagement rate beats 26% 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 @APSphysics post?
Most posts go out around 12:00 UTC, and Friday is its busiest day, at roughly 0.83 posts per day across the measured window.

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