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Stanford Medicine engagement report

@StanfordMed - 370K followers on X

Measured over 23 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.02%
of 370K followers
Per impression
0.823%
9.0K views on a typical post
Reach
2.43%
of its followers see a post
Typical post
74
interactions (median)
Saved
0.133%
12 bookmarks on a typical post
Posting rate
0.83/day
active 63% of days
Peak time
19:00 UTC
Friday

A typical post picks up 74 interactions against 370K followers, an engagement rate of 0.02%. Measured over 23 original posts, its engagement rate beats 28% of 3,848 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 9.0K times each, and 0.823% of those impressions turn into an interaction. That is about 2.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 23 posts sampled, 39% carry an image or video and 91% link out. The account's strongest tracked post pulled 425 interactions, about 5.7x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Stanford Medicine's engagement rate beats 28% of the tracked X accounts closest to it in follower count (3,848 accounts, accounts of similar size (decile 6 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 38% 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 0.02%, Stanford Medicine sits above the 25th percentile of the 37,320 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.436%
p902.10%
p99160.1%
Engagement rate as a share of followers, across the 37,320 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,750 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 percentile0.012%
50th percentile0.081%
75th percentile0.436%
90th percentile2.10%
99th percentile160.1%

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 19:00 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.

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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 19:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%62K
09:00 UTC-3%71K
10:00 UTC-2%74K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%97K
14:00 UTC-4%100K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-3%93K
18:00 UTC-2%87K
19:00 UTC-2%82K
20:00 UTC-1%76K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%235K
Monday0%296K
Tuesday-3%292K
Wednesday-1%254K
Thursday-2%248K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 31, 20265.7x their median

    https://t.co/wGq9uuNgaZ

    338765619K viewsView on X
  • Aug 28, 20262.5x 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

    144355210K viewsView on X
  • Aug 14, 20261.9x their median

    Researchers at Stanford Medicine are developing immune cells designed to better recognize and attack cancer — offering a new approach to cancer treatment. https://t.co/wz4ht1NmP1

    103294415K viewsView on X
  • Jun 10, 20261.9x their median

    https://t.co/RVjHORBidA

    102267331K viewsView on X
  • Aug 7, 20261.9x their median

    In a paradigm shift, a Stanford Medicine-led study reveals a new role for a well-known protein, tau, linked to Alzheimer’s disease and other neurodegenerative disorders. https://t.co/fqAaBoeLuv

    88396413K viewsView on X
  • Aug 29, 20261.6x 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/Pilmmf72pV

    90262413K viewsView on X
  • Aug 11, 20261.5x their median

    Colorectal cancer is the top cause of cancer deaths among people under age 50. Here’s what Stanford Medicine experts want people to know. https://t.co/WB6EV1wl9f https://t.co/w6ibLtPfx7

    86233212K viewsView on X
  • Jul 24, 2026

    https://t.co/Hj1MVkzV9s

    80243313K viewsView on X
  • Jul 27, 2026

    Researchers at Stanford Medicine developed a tool called the Ribo-Tweezer to pluck individual components out of a mature ribosome, finding a surprising role for a protein called RACK-1. https://t.co/E4maQJOW0q

    74215512K viewsView on X
  • Aug 12, 2026

    Our community mourns the loss of Teresa S.F. Wang, PhD, professor emeritus of pathology at Stanford Medicine. Wang is remembered for her research into the proteins involved in DNA replication, cell cycle checkpoints and genomic instability that can drive cancer development. https://t.co/piGlkJbRKN

    84154013K 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 74 interactions against 370K followers, an engagement rate of 0.02%. Measured over 23 original posts, its engagement rate beats 28% of 3,848 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 9.0K times each, and 0.823% of those impressions turn into an interaction. That is about 2.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 23 posts sampled, 39% carry an image or video and 91% link out. The account's strongest tracked post pulled 425 interactions, about 5.7x its own typical post.

What is Stanford Medicine's engagement rate on X?
Stanford Medicine (@StanfordMed) has an engagement rate of 0.02%, based on the median interactions across 23 original posts from the last 30 days against 370,225 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.02%, Stanford Medicine sits above the 25th percentile of the 37,320 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 28% of the tracked X accounts closest to it in follower count (3,848 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 19:00 UTC, and Friday is its busiest day, at roughly 0.83 posts per day across the measured window.

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