Stanford Medicine engagement report
@StanfordMed - 373K followers on X
Measured over 39 original posts from a 30-day window, last computed on October 3, 2026.
Engagement
A typical post picks up 57 interactions against 373K followers, an engagement rate of 0.015%. Measured over 39 original posts, its engagement rate beats 40% of 20,444 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 7.4K times each, and 0.766% of those impressions turn into an interaction. That is about 2.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 39 posts sampled, 33% carry an image or video and 95% link out. The account's strongest tracked post pulled 2.9K interactions, about 50x its own typical post. Recurring topics include #laskeraward, #standom, #womeninmedicinemonth.
Measured over 39 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #laskeraward, #standom, #womeninmedicinemonth.
Compared with accounts its own size
Stanford Medicine's engagement rate beats 40% of the tracked X accounts closest to it in follower count (20,444 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 40% 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 0.015%, Stanford Medicine sits above the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 17:00 UTC, and Friday 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% | 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 33% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 95% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 33% 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.
- 95% 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 181 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, 202650x their median
https://t.co/FOcBILteA4
- Aug 31, 20268.2x their median
https://t.co/wGq9uuNgaZ
- Sep 18, 20266.1x their median
https://t.co/KCG3izZrwc
- Sep 26, 20266.0x their median
Stanford Medicine scientists have developed TIGRa, an ultrasmall gene activator that could advance gene therapy for retinal degeneration and help prevent vision loss. https://t.co/jb6aDoWo5y
- Sep 17, 20264.2x their median
Stanford Medicine researchers have converted scientific papers into artificial intelligence agents that can answer questions, run analyses and collaborate to make new discoveries. https://t.co/HjDnhRbYVY https://t.co/NULlppqPAF
- Sep 9, 20264.1x their median
Congratulations to Stanford Medicine sleep researcher, Emmanuel Mignot, MD, PhD, on receiving this year’s Albert Lasker Basic Medical Research Award, one of the most prestigious science prizes in the world. He discovered that narcolepsy stems from a deficiency of orexin in the brain, opening the door to new sleep therapies. https://t.co/MQH5R2zJGs #LaskerAward
- Sep 20, 20263.4x their median
“We’re trying to essentially fight cancer with its cause — taking the driving force of the cancer and then rewiring it to activate cell death mechanisms,” said Stanford Medicine's Gerald Crabtree, MD. https://t.co/XzqrI4tgtD
- Aug 28, 20263.3x their median
“We’re trying to essentially fight cancer with its cause — taking the driving force of the cancer and then rewiring it to activate cell death mechanisms,” said Stanford Medicine's Gerald Crabtree, MD. https://t.co/5eEOjzX9TR
- Sep 25, 20263.1x their median
Peptides are the latest internet wellness trend — but what are they, and do they actually work? Stanford Medicine experts break down the potential benefits and risks. https://t.co/Pilmmf7Aft
- Sep 29, 20262.9x their median
Meet Fatima Rodriguez, MD, MPH, a preventive cardiologist studying heart disease prevention and population health to improve outcomes by reaching patients earlier and at scale. Learn what inspired her path into cardiology. https://t.co/stqWH1uOe2 https://t.co/DW4vaKgPbQ
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 57 interactions against 373K followers, an engagement rate of 0.015%. Measured over 39 original posts, its engagement rate beats 40% of 20,444 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 7.4K times each, and 0.766% of those impressions turn into an interaction. That is about 2.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 39 posts sampled, 33% carry an image or video and 95% link out. The account's strongest tracked post pulled 2.9K interactions, about 50x its own typical post. Recurring topics include #laskeraward, #standom, #womeninmedicinemonth.
- What is Stanford Medicine's engagement rate on X?
- Stanford Medicine (@StanfordMed) has an engagement rate of 0.015%, based on the median interactions across 39 original posts from the last 30 days against 372,819 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.015%, Stanford Medicine sits above the 10th percentile of the 204,694 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 @StanfordMed have real engagement?
- Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (20,444 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 @StanfordMed post?
- Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 1.8 posts per day across the measured window.