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Phys.org engagement report

@physorg_com - 1.0M followers on X

Measured over 52 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 1.0M followers
Per impression
0.558%
7.2K views on a typical post
Reach
0.71%
of its followers see a post
Typical post
40
interactions (median)
Saved
0.063%
4 bookmarks on a typical post
Posting rate
3.7/day
active 23% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 40 interactions against 1.0M followers, an engagement rate of 0.004%. Measured over 52 original posts, its engagement rate beats 23% of 3,758 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 7.2K times each, and 0.558% of those impressions turn into an interaction. That is about 0.711% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 52 posts sampled, 100% link out. The account's strongest tracked post pulled 191 interactions, about 4.8x its own typical post.

Measured over 52 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

Phys.org's engagement rate beats 23% of the tracked X accounts closest to it in follower count (3,758 accounts, accounts of similar size (decile 9 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 35% 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 0.004%, Phys.org sits above the 10th percentile of the 36,378 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 14:00 UTC, and Wednesday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
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%60K
09:00 UTC-3%69K
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%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 26, 20264.8x 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

    148373313K viewsView on X
  • Aug 26, 20263.5x their median

    At least three times in the past few million years, the heliosphere may have shrunk inside Earth’s orbit, exposing the atmosphere to interstellar material and altering climate. @NASA @AAS_Office https://t.co/b2WOz9EtEP

    103313212K viewsView on X
  • Aug 28, 20262.5x their median

    Light can directly probe a Wigner crystal’s vibrations in a single WSe2 layer at 5 Kelvin, and stronger illumination can even trigger its melting while the mechanism remains unclear @NaturePhysics @arxiv https://t.co/n7VFUiNbRI

    8813109.1K viewsView on X
  • Aug 28, 20262.5x their median

    Ancient DNA confirms cacao in 800- to 900-year-old pottery from Etowah, placing chocolate consumption in present-day Georgia about 1,000 years ago while its route there remains unclear @PLOSONE https://t.co/LaQQL6icAn

    7421127.9K viewsView on X
  • Aug 29, 20262.1x their median

    Graphene growth at 300°C clears a long-standing heat barrier, and changing the temperature steers the same process from quantum dots to porous graphene. @tohoku_univ @J_A_C_S https://t.co/NKcEjBpSXl

    72101010K viewsView on X
  • Aug 29, 20261.9x their median

    First molecular-level snapshots show water reorganizing as a light-struck molecule gains a proton, exposing a coupled reaction central to photosynthesis and energy conversion while the proton itself remains unseen @PNNLab @NatureComms https://t.co/m86dnaO58K

    649027.2K viewsView on X
  • Aug 30, 20261.9x their median

    A 2.74% solar-to-ethanol efficiency sets a new mark for converting CO₂ in water, with a nano-layered photocathode staying active for many hours while producing pure ethanol. @CharlesUniPRG https://t.co/BIzmulPt0O

    5913118.9K viewsView on X
  • Aug 29, 20261.8x their median

    A debris wave that may have reached 30 meters high tore more than 170 kilometers down Nepal’s Bhote Koshi valley, likely triggered by a glacier collapse. @ConversationEDU https://t.co/f6lK5N6KFt

    50221013K viewsView on X
  • Aug 27, 20261.8x their median

    Mars’ south interior may be 200–400°C hotter than its north and partially molten, a deep thermal asymmetry that gravity data now points to beneath the planet’s surface. @Caltech @nature https://t.co/U9JF6kuF3e

    5614027.1K viewsView on X
  • Aug 25, 20261.8x their median

    A sharp gamma-ray line near 43 billion electron volts has appeared in three dark-matter-rich galaxy clusters, a signal that could fit WIMP annihilation but has not been confirmed. @physrevlett @arxiv https://t.co/FzzhnEAERF

    5116229.2K 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 40 interactions against 1.0M followers, an engagement rate of 0.004%. Measured over 52 original posts, its engagement rate beats 23% of 3,758 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 7.2K times each, and 0.558% of those impressions turn into an interaction. That is about 0.711% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 52 posts sampled, 100% link out. The account's strongest tracked post pulled 191 interactions, about 4.8x its own typical post.

What is Phys.org's engagement rate on X?
Phys.org (@physorg_com) has an engagement rate of 0.004%, based on the median interactions across 52 original posts from the last 30 days against 1,008,401 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Phys.org sits above the 10th percentile of the 36,378 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?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (3,758 accounts), which puts it in the bottom quarter for its size 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 @physorg_com post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 3.7 posts per day across the measured window.

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