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JAMA engagement report

@JAMA_current - 495K followers on X

Measured over 38 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Middle of its size range
Per follower
0.007%
of 495K followers
Per impression
0.763%
4.7K views on a typical post
Reach
0.95%
of its followers see a post
Typical post
36
interactions (median)
Saved
0.148%
7 bookmarks on a typical post
Posting rate
1.93/day
active 17% of days
Peak time
15:00 UTC
Tuesday

A typical post picks up 36 interactions against 495K followers, an engagement rate of 0.007%. Measured over 38 original posts, its engagement rate beats 30% of 20,182 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 4.7K times each, and 0.763% of those impressions turn into an interaction. That is about 0.952% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 89% carry an image or video, 26% are part of a thread and 100% link out. The account's strongest tracked post pulled 823 interactions, about 23x its own typical post. Recurring topics include #medicine, #ai, #clinicaltrial.

Measured over 38 original posts from a 30-day window, last computed on October 21, 2026. Recurring tags: #medicine, #ai, #clinicaltrial.

Compared with accounts its own size

JAMA's engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,182 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 0.007%, JAMA sits above the 10th percentile of the 202,175 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,175 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,928 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 15:00 UTC, and Tuesday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video89% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 89% 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 447 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Aug 24, 202623x their median

    #PosturalOrthostaticTachycardiaSyndrome (POTS) is a chronic autonomic disorder defined by orthostatic symptoms with a sustained heart rate increase within 10 minutes of standing or head-up tilt, without orthostatic hypotension. πŸ”— https://t.co/p5lt0kHKNs https://t.co/kmEFXMEUIp

    6161926933K viewsView on X
  • Sep 15, 202615x their median

    πŸ“ #JAMAReview: #LiquidBiopsy using circulating #tumor #DNA can help guide care in #Cancer by identifying gene variants associated with treatment selection, monitoring treatment response, and detecting minimal residual disease after therapy. Detectable circulating tumor DNA after curative-intent treatment was associated with recurrence and poorer survival across multiple cancer settings, often before progression was evident on imaging. https://t.co/hUWmVvEhEM

    3921309525K viewsView on X
  • Oct 19, 202610x their median

    πŸ“Š JAMA Clinical Guidelines Synopsis: The 2025 @IDSAInfo guideline for adults with c omplicated #UrinaryTractInfection recommends selecting empirical antibiotic therapy based on severity of illness, risk factors for resistance, patient-specific considerations, and recent local antibiogram data. For patients who are clinically improving, the guidance supports shorter treatment courses and transition from intravenous to oral antibiotics when an effective oral option is available. https://t.co/QYlf0mqYk7

    270864115K viewsView on X
  • Aug 25, 20268.8x their median

    Familial #hypercholesterolemia (FH) is a family of genetic disorders characterized by impaired hepatic clearance of low-density #lipoprotein (LDL) particles, due to pathogenic variants that impair #LDL receptor function. πŸ’‘ This JAMA Insights explores FH, including assessment and diagnosis, effective treatments, and management of both homozygous and heterozygous FH. https://t.co/J3wdLvkiAF

    214927230K viewsView on X
  • Sep 3, 20267.9x their median

    #Gastroparesis is a digestive disorder involving delayed emptying of the stomach that may cause nausea, vomiting, feeling full quickly, bloating, and upper abdominal pain or discomfort. πŸ“„ This JAMA Patient Page describes common risk factors, including type 1 and type 2 #diabetes, prior surgery, cannabis use, and medications that slow stomach emptying such as opioids, anticholinergics, and glucagon-like peptide-1 receptor agonists. https://t.co/ifTtvEBRFj

    212638317K viewsView on X
  • Sep 14, 20267.4x their median

    πŸ“ #JAMAReview: #Idiopathic normal pressure hydrocephalus is a progressive neurologic disorder in older adults associated with gait impairment and often urinary dysfunction and cognitive decline. πŸ”— Learn more: https://t.co/nI7qpWQOw6 https://t.co/gI7lN1Bwml

    209532219K viewsView on X
  • Aug 19, 20266.8x their median

    πŸ’‘ JAMA Insights: #AlcoholUseDisorder medications, including naltrexone, acamprosate, disulfiram, and topiramate, can support abstinence or reduced drinking and may be started in inpatient or primary care settings. https://t.co/tM4sdSjywF https://t.co/vbp8FNS87O

    194511017K viewsView on X
  • Aug 25, 20266.8x their median

    πŸ’¬ Perspective: #ArtificialIntelligence may increase efficiency and diagnostic support in medicine, but its value will depend on whether time saved is redirected to face-to-face patient care rather than more screen-based work. https://t.co/wDQf8onNvJ https://t.co/Ojs4w6tYQn

    170589720K viewsView on X
  • Sep 2, 20266.8x their median

    #BrainDeath, or death as determined by neurologic criteria, can be difficult for families to understand because patients may still have a pulse, warm skin, chest rise with mechanical ventilation, or reflexive movements. πŸ’‘ This JAMA Insights article discusses how simple, direct, and precise language may help clinicians communicate that brain death is legal death and reduce confusion during evaluation and determination. πŸ”— https://t.co/bbrewxFjpw

    177602418K viewsView on X
  • Aug 26, 20266.5x their median

    #CannabinoidHyperemesisSyndrome is associated with chronic, daily or near-daily #cannabis use and is characterized by recurrent episodes of severe nausea, vomiting, and abdominal pain. πŸ’‘This JAMA Insights discusses diagnosis based on typical clinical features, regular cannabis use, and symptom resolution after cannabis cessation, which distinguishes this condition from cyclic vomiting syndrome. https://t.co/qELi8jELU4

    180475316K 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

#medicine#ai#clinicaltrial#health#healthydialogue

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 36 interactions against 495K followers, an engagement rate of 0.007%. Measured over 38 original posts, its engagement rate beats 30% of 20,182 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 4.7K times each, and 0.763% of those impressions turn into an interaction. That is about 0.952% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 89% carry an image or video, 26% are part of a thread and 100% link out. The account's strongest tracked post pulled 823 interactions, about 23x its own typical post. Recurring topics include #medicine, #ai, #clinicaltrial.

What is JAMA's engagement rate on X?
JAMA (@JAMA_current) has an engagement rate of 0.007%, based on the median interactions across 38 original posts from the last 30 days against 495,285 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, JAMA sits above the 10th percentile of the 202,175 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 @JAMA_current have real engagement?
Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,182 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 @JAMA_current post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 1.93 posts per day across the measured window.

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