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Massachusetts Institute of Technology (MIT) engagement report

@MIT - 1.4M followers on X

Measured over 19 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 1.4M followers
Per impression
0.743%
24K views on a typical post
Reach
1.75%
of its followers see a post
Typical post
178
interactions (median)
Saved
0.117%
28 bookmarks on a typical post
Posting rate
0.63/day
active 63% of days
Peak time
14:00 UTC
Monday

A typical post picks up 178 interactions against 1.4M followers, an engagement rate of 0.013%. Measured over 19 original posts, its engagement rate beats 38% of 4,067 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 24K times each, and 0.743% of those impressions turn into an interaction. That is about 1.75% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 16% carry an image or video and 100% link out. The account's strongest tracked post pulled 4.7K interactions, about 27x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Massachusetts Institute of Technology (MIT)'s engagement rate beats 38% of the tracked X accounts closest to it in follower count (4,067 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 43% 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 0.013%, Massachusetts Institute of Technology (MIT) sits above the 25th percentile of the 39,368 accounts in this comparison. That places it in the below the median band, which runs 0.013% to 0.082%.

p100.002%
p250.013%
p50 (median)0.082%
p750.442%
p902.09%
p99152.1%
Engagement rate as a share of followers, across the 39,368 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 95,038 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 percentile0.013%
50th percentile0.082%
75th percentile0.442%
90th percentile2.09%
99th percentile152.1%

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 Monday 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%55K
01:00 UTC-2%56K
02:00 UTC-4%54K
03:00 UTC-4%58K
04:00 UTC-6%47K
05:00 UTC-4%45K
06:00 UTC-5%52K
07:00 UTC-5%56K
08:00 UTC-4%66K
09:00 UTC-4%76K
10:00 UTC-3%78K
11:00 UTC-3%85K
12:00 UTC-2%94K
13:00 UTC-3%102K
14:00 UTC-3%105K
15:00 UTC-1%109K
16:00 UTC-3%106K
17:00 UTC-2%98K
18:00 UTC-1%92K
19:00 UTC-2%87K
20:00 UTC-1%81K
21:00 UTC-1%72K
22:00 UTC-2%62K
23:00 UTC-2%56K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%245K
Monday+1%313K
Tuesday-3%327K
Wednesday-3%275K
Thursday-2%256K
Friday-3%266K
Saturday+3%240K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jun 20, 202627x their median

    The Tartan Army made their mark on campus before leaving Massachusetts. Thanks for the visit and the reminder that you stopped by MIT. We hope you enjoyed your time in Cambridge! https://t.co/fd1zRSFWhr

    4.4K329181353K viewsView on X
  • Aug 24, 20263.4x their median

    MIT researchers have engineered bacteria that can function as transistors, allowing them to create “living circuit boards” like those in the image. https://t.co/zQUXBesJTx

    450103262441K viewsView on X
  • Aug 18, 20262.4x their median

    MIT researchers discovered a paradoxical phenomenon in optical physics that could enable a new bioimaging method that’s faster and higher-resolution than existing technology. https://t.co/28yIRObdHK

    3337012630K viewsView on X
  • Aug 1, 20262.3x their median

    As a fifth-year PhD candidate in MIT’s Department of Materials Science and Engineering, Smith studies sodium-ion batteries, an emerging alternative to the lithium-ion batteries that power everything from smartphones to electric vehicles. His research aims to make energy storage both more affordable and more sustainable. https://t.co/UcJUSKs7as

    322688548K viewsView on X
  • Aug 17, 20262.2x their median

    MIT researchers have discovered “moiré crystals” with two different competing atomic lattices, which together generate a moiré superlattice that is mathematically equivalent to an emergent 4D “superspace” lattice. https://t.co/ZoXyGb36rW

    2936819932K viewsView on X
  • Jul 1, 20262.1x their median

    For decades, neuroscientists have known that specific regions in the brain’s left hemisphere are responsible for processing language. However, a new study by MIT researchers shows that language processing also occurs in many other parts of the brain. https://t.co/8WEVz69r6z

    2767715822K viewsView on X
  • May 14, 20262.1x their median

    Science is Curiosity on a Mission: It includes all of us who ask "why" and make it our mission to find out. These are the discoveries that move the country forward. The pursuit of ideas that seemed impossible until they weren’t. #CuriosityOnAMission https://t.co/3fPOsDMB38

    239941422109K viewsView on X
  • Aug 31, 20262.0x their median

    A former MIT class project is becoming an $850 million effort to manufacture a new kind of aircraft in Ohio. https://t.co/odgedKUxhZ

    28353131230K viewsView on X
  • Aug 6, 20261.8x their median

    Super-thin superconducting materials, which are only one or a few atoms thick, have unique properties scientists can leverage to produce more efficient quantum devices. But these fragile materials degrade so rapidly in air that they are difficult to study or manufacture. Researchers from MIT and elsewhere have discovered a method to generate ultrathin superconducting material that remains stable in air. https://t.co/ONd6a1Wijw

    2376613432K viewsView on X
  • Aug 10, 20261.6x their median

    Scientists unveil more than 600 new tissue models of human cancer: Derived from patient tumor samples and available to researchers around the world, the cells will aid the development of new cancer treatments. https://t.co/KmAegbYdka https://t.co/QdMJd9QU3d

    2125812841K 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 178 interactions against 1.4M followers, an engagement rate of 0.013%. Measured over 19 original posts, its engagement rate beats 38% of 4,067 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 24K times each, and 0.743% of those impressions turn into an interaction. That is about 1.75% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 16% carry an image or video and 100% link out. The account's strongest tracked post pulled 4.7K interactions, about 27x its own typical post.

What is Massachusetts Institute of Technology (MIT)'s engagement rate on X?
Massachusetts Institute of Technology (MIT) (@MIT) has an engagement rate of 0.013%, based on the median interactions across 19 original posts from the last 30 days against 1,372,801 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Massachusetts Institute of Technology (MIT) sits above the 25th percentile of the 39,368 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 @MIT have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (4,067 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 @MIT post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 0.63 posts per day across the measured window.

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