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Scientific American engagement report

@sciam - 4.2M followers on X

Measured over 167 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 4.2M followers
Per impression
0.388%
12K views on a typical post
Reach
0.29%
of its followers see a post
Typical post
48
interactions (median)
Saved
0.073%
9 bookmarks on a typical post
Posting rate
5.8/day
active 97% of days
Peak time
10:00 UTC
Tuesday

A typical post picks up 48 interactions against 4.2M followers, an engagement rate of 0.001%. Measured over 167 original posts, its engagement rate beats 12% of 20,182 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 12K times each, and 0.388% of those impressions turn into an interaction. That is about 0.291% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 167 posts sampled, 100% link out. The account's strongest tracked post pulled 3.6K interactions, about 74x its own typical post.

Measured over 167 original posts from a 30-day window, last computed on October 24, 2026.

Compared with accounts its own size

Scientific American's engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,182 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 26% 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 0.001%, Scientific American 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%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 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 percentile0.677%
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 10:00 UTC, and Tuesday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video1% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 1% 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 202 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

  • Sep 21, 202674x their median

    In yet another sign of AI’s surging dominance over human minds, OpenAI recently claimed to solve one of math’s biggest questions: the Navier-Stokes problem. But now three mathematicians have showed OpenAI’s work dodges the question rather than solving it. https://t.co/5Fbf4R460T

    2.8K49590170777K viewsView on X
  • Sep 28, 202648x their median

    One in eight cancers are caused by infections, a new study finds. And there’s an easy way to protect yourself against most of them: get vaccinated. https://t.co/8hn3OWn0PM

    1.6K6226152281K viewsView on X
  • Aug 24, 202635x their median

    Earth's oceans are reaching perilous new temperatures—on August 22, scientists recorded the hottest ever temperature. Experts explain how it is only going to get worse: https://t.co/ss9wK3Cn2l

    969600464660K viewsView on X
  • Aug 25, 202630x their median

    Country music legend Dolly Parton, who died today at 81, donated $1 million to Vanderbilt University Medical Center in 2020 to help fund an early stage trial of the Moderna COVID vaccine. She received her first dose in 2021 and urged others to do the same. https://t.co/fGgIYZPabc

    1.1K310151254K viewsView on X
  • Sep 30, 202623x their median

    An Anthropic AI solved a problem considered a “holy grail” of percolation theory—the math of how water passes through a porous solid, like coffee grounds. The landmark proof came just days after a Fields medalist predicted it. https://t.co/DyqB0ObFMo

    8451952127128K viewsView on X
  • Aug 20, 202619x their median

    Europe is on fire. It is going to get so, so much worse. https://t.co/iCySAZqarN

    4962751222484K viewsView on X
  • Aug 10, 202619x their median

    The president called for the measles, mumps and rubella (MMR) combined vaccine to be split into separate shots, despite decades of research showing the MMR is safe and effective https://t.co/DsrCXNDcPB

    51822911141117K viewsView on X
  • Oct 20, 202618x their median

    A radical new theory about energy and mitochondria could explain chronic disease and aging. https://t.co/jBvi5Q5KKt

    6621183453110K viewsView on X
  • Oct 19, 202618x their median

    An AI model can predict whether you’re likely to die of cancer from a single photo of your face, according to new research. https://t.co/i79IbLhhWZ

    6401343655148K viewsView on X
  • Sep 28, 202615x their median

    TikTok creators are promoting garlic fermented in honey as an antibiotic and antiviral cure-all. But the mixture could actually promote the growth of a bacteria that causes the deadly disease botulism https://t.co/wRqexpOGXe

    459225203899K 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 48 interactions against 4.2M followers, an engagement rate of 0.001%. Measured over 167 original posts, its engagement rate beats 12% of 20,182 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 12K times each, and 0.388% of those impressions turn into an interaction. That is about 0.291% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 167 posts sampled, 100% link out. The account's strongest tracked post pulled 3.6K interactions, about 74x its own typical post.

What is Scientific American's engagement rate on X?
Scientific American (@sciam) has an engagement rate of 0.001%, based on the median interactions across 167 original posts from the last 30 days against 4,248,419 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Scientific American 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 @sciam have real engagement?
Its engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,182 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 @sciam post?
Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 5.8 posts per day across the measured window.

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