Phys.org engagement report
@physorg_com - 1.0M followers on X
Measured over 240 original posts from a 30-day window, last computed on October 26, 2026.
Engagement
A typical post picks up 34 interactions against 1.0M followers, an engagement rate of 0.003%. Posts are seen about 4.9K times each, and 0.678% of those impressions turn into an interaction. That is about 0.49% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 17.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 240 posts sampled, 100% link out. The account's strongest tracked post pulled 559 interactions, about 16x its own typical post.
Measured over 240 original posts from a 30-day window, last computed on October 26, 2026.
Where this sits in the catalog
At 0.003%, Phys.org sits below the 10th percentile of the 204,424 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 Sunday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 0% 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 203 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 6, 202616x their median
A laser-made plasma filament has transmitted radio waves for the first time, forming a lightsaber-like antenna whose length can be controlled by adjusting the laser. @ncstate https://t.co/lJ0knIC6xm
- Oct 13, 202613x their median
Einstein’s equations, with quantum corrections, can be derived from quantum information—a mathematical link that supports the idea that gravity may emerge rather than be fundamental. @physrevlett https://t.co/HnS9p2RkiD
- Oct 11, 202610x their median
Isolated quantum states retain traces of their past even after appearing fully scrambled, remaining more likely to revisit their own history than comparable random states. @PhysRevX https://t.co/BtviDX1Fv8
- Oct 22, 20266.9x their median
Schrödinger’s unpublished model matched quantum predictions for light passing through successive filters—without implying that he believed in a fully predetermined universe. @nature @arxiv https://t.co/PXAx2AhVnm
- Oct 7, 20266.7x their median
Quantum spins alone moved a levitating, centimeter-wide diamond—a first direct demonstration of a quantum effect manipulating an object subject to gravity. @oistedu @ScienceAdvances https://t.co/4rvUuFafs6
- Sep 9, 20265.9x their median
First direct evidence shows a wandering black hole feeding from gas dragged into its wake, with all three flow components predicted by theory seen in a galaxy 20 million light-years away @arxiv https://t.co/YY3KkqWBFd
- Oct 18, 20265.8x their median
Four-layer graphene can switch between magnetic and nonmagnetic states that persist after voltage is removed, using electrical pulses to slide its layers into different atomic arrangements. @cornell @NatureNano https://t.co/8f1GKKjQet
- Sep 29, 20265.6x their median
The first quantum computer in space observed interference between photons, even after half its detectors failed; processing satellite data in orbit remains a future goal. @arxiv https://t.co/NV31mrUxDL
- Aug 26, 20265.6x their median
A 136-picometer gap between neighboring silicon atoms produced double-slit interference, and the fringe pattern made their coordinated vibrations readable at the scale of a single atomic bond. @nature https://t.co/hhMNv8IjFv
- Sep 15, 20265.5x their median
A cold, nearly parallel muonium beam could enable the first test of how a second-generation particle falls, despite muons decaying in just 2.2 microseconds. @ETH_en @NaturePhysics https://t.co/P2Gj3bCjZ1
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 34 interactions against 1.0M followers, an engagement rate of 0.003%. Posts are seen about 4.9K times each, and 0.678% of those impressions turn into an interaction. That is about 0.49% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 17.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 240 posts sampled, 100% link out. The account's strongest tracked post pulled 559 interactions, about 16x its own typical post.
- What is Phys.org's engagement rate on X?
- Phys.org (@physorg_com) has an engagement rate of 0.003%, based on the median interactions across 240 original posts from the last 30 days against 1,008,234 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.003%, Phys.org sits below the 10th percentile of the 204,424 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 @physorg_com have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @physorg_com post?
- Most posts go out around 12:00 UTC, and Sunday is its busiest day, at roughly 17.83 posts per day across the measured window.