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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.013% |
| 50th percentile | 0.082% |
| 75th percentile | 0.442% |
| 90th percentile | 2.09% |
| 99th percentile | 152.1% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 245K |
| Monday | +1% | 313K |
| Tuesday | -3% | 327K |
| Wednesday | -3% | 275K |
| Thursday | -2% | 256K |
| Friday | -3% | 266K |
| Saturday | +3% | 240K |
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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.