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Sciences et Avenir engagement report

@Sciences_Avenir - 327K followers on X

Measured over 64 original posts from a 30-day window, last computed on September 16, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 327K followers
Per impression
0.359%
3.1K views on a typical post
Reach
0.94%
of its followers see a post
Typical post
11
interactions (median)
Saved
0.033%
1 bookmarks on a typical post
Posting rate
2.2/day
active 50% of days
Peak time
09:00 UTC
Tuesday

A typical post picks up 11 interactions against 327K followers, an engagement rate of 0.003%. Measured over 64 original posts, its engagement rate beats 14% of 15,519 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 3.1K times each, and 0.359% of those impressions turn into an interaction. That is about 0.937% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 64 posts sampled, 77% carry an image or video and 86% link out. The account's strongest tracked post pulled 306 interactions, about 28x its own typical post.

Measured over 64 original posts from a 30-day window, last computed on September 16, 2026.

Compared with accounts its own size

Sciences et Avenir's engagement rate beats 14% of the tracked X accounts closest to it in follower count (15,519 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 22% 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 0.003%, Sciences et Avenir sits above the 10th percentile of the 157,233 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,233 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,048 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 09:00 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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 video77% of posts+111%+108% to +115%34K
Outbound link86% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 77% 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.
  • 86% 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 139 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

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 9, 202628x their median

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  • Sep 7, 202614x their median

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 et trouvĂ© un parallĂšle inquiĂ©tant avec notre Ă©poque. https://t.co/zXfgdHqw7j

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  • Aug 31, 20264.5x their median

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  • Aug 31, 20263.5x their median

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  • Sep 2, 20263.4x their median

    🐬 Des chercheurs australiens ont observĂ© pour la seconde fois des dauphins en train de chasser Ă  l'aide de coquillage. Cette observation, d'une femelle et de son delphineau, remet en question les logiques de transmission chez grands dauphins de l'ocĂ©an Indien. https://t.co/TQqWS5gJz5

    325004.9K viewsView on X
  • Aug 31, 20263.3x their median

    La France est le plus mauvais Ă©lĂšve de l’OCDE dans le domaine des inĂ©galitĂ©s scolaires "qui reflĂštent les inĂ©galitĂ©s sociales" Une Ă©quipe du CNRS cherche comment lutter contre celles-ci 👉 https://t.co/c3gNPa3gzP https://t.co/6NLGZxrgXd

    1710723.5K viewsView on X
  • Sep 2, 20262.8x their median

    1,5°C : l’ONU appelle Ă  regarder la rĂ©alitĂ© en face 👉 https://t.co/y3Q4fkxrUf https://t.co/v0wxi2bpu8

    1611402.9K viewsView on X
  • Sep 2, 20262.7x their median

    1,5°C : l’ONU appelle Ă  regarder la rĂ©alitĂ© en face 👉 https://t.co/vZ7yINAbSj https://t.co/8kUUZhiCde

    226203.0K viewsView on X
  • Aug 30, 20262.7x their median

    Le sens du rythme n’est pas propre aux humains. MĂȘme avec un tout petit cerveau, on peut en ĂȘtre dotĂ© ! Comme ces chenilles qui utilisent des signaux acoustiques et rythmiques complexes pour communiquer avec des fourmis. 👉 https://t.co/h3SLIcVqCT https://t.co/wmAxm8Ee9r

    218014.2K viewsView on X
  • Aug 31, 20262.5x their median

    Collant, extensible, rigide ou glissant : la bave d’escargot sait presque tout faire. Et derriĂšre cette Ă©trange substance se cache un matĂ©riau biologique particuliĂšrement sophistiquĂ©. © Andrew Dunn https://t.co/BmsoGTbnLN

    216104.3K 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 11 interactions against 327K followers, an engagement rate of 0.003%. Measured over 64 original posts, its engagement rate beats 14% of 15,519 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 3.1K times each, and 0.359% of those impressions turn into an interaction. That is about 0.937% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 64 posts sampled, 77% carry an image or video and 86% link out. The account's strongest tracked post pulled 306 interactions, about 28x its own typical post.

What is Sciences et Avenir's engagement rate on X?
Sciences et Avenir (@Sciences_Avenir) has an engagement rate of 0.003%, based on the median interactions across 64 original posts from the last 30 days against 327,380 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Sciences et Avenir sits above the 10th percentile of the 157,233 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 @Sciences_Avenir have real engagement?
Its engagement rate beats 14% of the tracked X accounts closest to it in follower count (15,519 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 @Sciences_Avenir post?
Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 2.2 posts per day across the measured window.

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