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The BMJ engagement report

@bmj_latest - 486K followers on X

Measured over 41 original posts from a 30-day window, last computed on October 22, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 486K followers
Per impression
0.454%
4.0K views on a typical post
Reach
0.82%
of its followers see a post
Typical post
18
interactions (median)
Saved
0.076%
3 bookmarks on a typical post
Posting rate
1.37/day
active 27% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 18 interactions against 486K followers, an engagement rate of 0.004%. Measured over 41 original posts, its engagement rate beats 22% of 20,444 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 4.0K times each, and 0.454% of those impressions turn into an interaction. That is about 0.816% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 41 posts sampled, 17% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.3K interactions, about 70x its own typical post. Recurring topics include #bmjclimate, #bmjexclusive, #bmjresearch.

Measured over 41 original posts from a 30-day window, last computed on October 22, 2026. Recurring tags: #bmjclimate, #bmjexclusive, #bmjresearch.

Compared with accounts its own size

The BMJ's engagement rate beats 22% 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 29% 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 0.004%, The BMJ sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 16:00 UTC, and Wednesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video17% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 17% 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.
  • 100% 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 237 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 18, 202670x their median

    A new BMJ investigation finds that US health officials knowingly relied on a compromised algorithm to detect signals of harm from mRNA covid-19 vaccines. Investigative journalist David Willman explains how FDA officials were aware this system was "blind" https://t.co/qu2JHKtPqc https://t.co/iI1LYctqNC

    7583625477150K viewsView on X
  • Sep 3, 202624x their median

    PIP payments have failed to keep up with the increasing costs of disability and the system has a culture of disbelief at its core, says Fazilet Hadi @DisRightsUK. The government’s review seems unlikely to change this https://t.co/z3tMUya3ZF

    27314471123K viewsView on X
  • Aug 23, 202622x their median

    The UK is short of 2249 anaesthetists and 19% of established anaesthetists plan to leave the NHS in the next five years. Surgery will keep grinding to a halt without more anaesthetists, writes @scarlettmcnally https://t.co/i8S9fP8fit

    224142161028K viewsView on X
  • Aug 23, 202619x their median

    Hyperkalaemia is a common and potentially life threatening electrolyte abnormality. This state of the art review summarises data on the epidemiology, identifies key risk factors and diagnostic considerations, and reviews approaches to management https://t.co/dH3spoo4cD https://t.co/bdObzwVzd1

    251930118K viewsView on X
  • Sep 1, 202615x their median

    The family of a doctor who killed himself within hours of learning that he had been referred to the General Medical Council are asking the UK Supreme Court to hear their case for compensation https://t.co/5Md33fHhGx

    2125617137K viewsView on X
  • Sep 15, 202613x their median

    Cellulitis is a bacterial infection of the skin and subcutaneous tissue. How is lower limb cellulitis diagnosed, what important differential diagnoses should you consider, and how is it treated? #MedEd https://t.co/wzusP31Sne https://t.co/0QwMB7GKuD

    162704214K viewsView on X
  • Sep 17, 202612x their median

    Doctors should avoid embracing every new AI system uncritically or refusing to use AI on principle, says Daniel Sokol, as he gives tips to use AI safely and responsibly https://t.co/mX87x2ULCr

    153569426K viewsView on X
  • Oct 21, 202612x their median

    NHS trusts in England made nearly £87m from charging staff to park last year, in what doctors’ leaders described as a “stealth tax” on the profession https://t.co/0UzbAxxiUm

    139696110K viewsView on X
  • Aug 27, 202610x their median

    The passing of Dolly Parton is a reminder of not just a legendary artist but a stalwart supporter of medicine and science https://t.co/t0EY8DFv8f https://t.co/z5FzFovA54

    146360212K viewsView on X
  • Aug 26, 20269.8x their median

    In the wake of Jason Arday's death, Britain needs to be honest about race in academia. The polarised row over Cambridge’s youngest ever Black professor reveals much about merit and belonging in British academia https://t.co/7K01oRjOmW

    10240241023K 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.

Recurring topics

#bmjclimate#bmjexclusive#bmjresearch

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 18 interactions against 486K followers, an engagement rate of 0.004%. Measured over 41 original posts, its engagement rate beats 22% of 20,444 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 4.0K times each, and 0.454% of those impressions turn into an interaction. That is about 0.816% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 41 posts sampled, 17% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.3K interactions, about 70x its own typical post. Recurring topics include #bmjclimate, #bmjexclusive, #bmjresearch.

What is The BMJ's engagement rate on X?
The BMJ (@bmj_latest) has an engagement rate of 0.004%, based on the median interactions across 41 original posts from the last 30 days against 485,955 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, The BMJ sits above the 10th percentile of the 204,583 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 @bmj_latest have real engagement?
Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 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 @bmj_latest post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 1.37 posts per day across the measured window.

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