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JAMA engagement report

@JAMA_current - 495K followers on X

Measured over 49 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Middle of its size range
Per follower
0.008%
of 495K followers
Per impression
0.324%
12K views on a typical post
Reach
2.37%
of its followers see a post
Typical post
38
interactions (median)
Saved
0.085%
10 bookmarks on a typical post
Posting rate
1.9/day
active 37% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 38 interactions against 495K followers, an engagement rate of 0.008%. Measured over 49 original posts, its engagement rate beats 26% of 4,104 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 12K times each, and 0.324% of those impressions turn into an interaction. That is about 2.37% 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 37% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 49 posts sampled, 65% carry an image or video, 6% are part of a thread and 100% link out. The account's strongest tracked post pulled 823 interactions, about 22x its own typical post. Recurring topics include #dyslipidemia, #ai, #ascvd.

Measured over 49 original posts from a 30-day window, last computed on August 28, 2026. Recurring tags: #dyslipidemia, #ai, #ascvd.

Compared with accounts its own size

JAMA's engagement rate beats 26% of the tracked X accounts closest to it in follower count (4,104 accounts, accounts of similar size (decile 7 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 24% 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 0.008%, JAMA sits above the 10th percentile of the 39,683 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.013%.

p100.002%
p250.013%
p50 (median)0.082%
p750.442%
p902.09%
p99149.3%
Engagement rate as a share of followers, across the 39,683 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 93,337 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 percentile0.013%
50th percentile0.082%
75th percentile0.442%
90th percentile2.09%
99th percentile149.3%

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 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%55K
01:00 UTC-2%56K
02:00 UTC-4%55K
03:00 UTC-4%58K
04:00 UTC-6%47K
05:00 UTC-4%46K
06:00 UTC-5%53K
07:00 UTC-5%57K
08:00 UTC-4%66K
09:00 UTC-4%76K
10:00 UTC-3%79K
11:00 UTC-3%85K
12:00 UTC-2%94K
13:00 UTC-3%103K
14:00 UTC-3%106K
15:00 UTC-1%109K
16:00 UTC-3%106K
17:00 UTC-2%99K
18:00 UTC-1%92K
19:00 UTC-2%87K
20:00 UTC-1%81K
21:00 UTC-1%72K
22:00 UTC-1%62K
23:00 UTC-2%56K
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 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%246K
Monday+1%315K
Tuesday-3%330K
Wednesday-3%278K
Thursday-2%256K
Friday-3%267K
Saturday+3%240K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 24, 202622x 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. 🔗 https://t.co/p5lt0kHKNs https://t.co/kmEFXMEUIp

    6161926933K viewsView on X
  • Aug 25, 20268.2x 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. 💡 This JAMA Insights explores FH, including assessment and diagnosis, effective treatments, and management of both homozygous and heterozygous FH. https://t.co/J3wdLvkiAF

    212927224K viewsView on X
  • Aug 19, 20266.5x their median

    💡 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, 20266.4x their median

    💬 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
  • Aug 26, 20266.2x 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. 💡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
  • Aug 21, 20265.5x their median

    #MedNews: A major push to complement and replace animal testing with “human-based” models like organoids is underway. These tiny organ-like structures grown from human cells are being used to model disease and study human development, identify and screen new therapeutics, test chemical or drug toxicity, and evaluate drug response. And in what some call a “watershed moment,” the biomedical field is pairing these laboratory specimens with increasingly powerful computational tools. Learn more: https://t.co/qIxcrH0q9e

    139568519K viewsView on X
  • Aug 26, 20264.5x their median

    Adding #CoronaryArteryCalcium score to the #PREVENT atherosclerotic cardiovascular disease equations only modestly improved prediction overall in US adults aged 45 to 79 years without baseline #ASCVD. These findings support the selective use of coronary artery calcium scoring, rather than routine use across all risk groups, when refining 10-year risk estimates. https://t.co/gIrubhL4ra

    126349116K viewsView on X
  • Aug 25, 20264.1x their median

    Sodium bicarbonate did not improve sustained return of spontaneous circulation, survival, or neurologic outcomes in adults with in-hospital cardiac arrest compared to placebo. https://t.co/5bY7T40PYB https://t.co/RrsvBTcONR

    120285217K viewsView on X
  • Aug 25, 20263.7x their median

    Tetanus is a rare but life-threatening disease caused by the bacterium Clostridium tetani. 📄This JAMA Patient Page describes the signs and symptoms of #tetanus, the risk factors, vaccinations for prevention, and how it is diagnosed and treated. https://t.co/rrS7Kpl9bk https://t.co/UJ6PE2kTyF

    102351214K viewsView on X
  • Aug 25, 20263.3x their median

    📊 Research Summary: Sodium bicarbonate did not improve sustained return of spontaneous circulation or survival in adults with in-hospital #cardiac arrest, supporting guidelines against its routine use. https://t.co/QK9sVFRih9 https://t.co/HxmOSpEx1t

    98251012K 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

#dyslipidemia#ai#ascvd#health#medicine

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 38 interactions against 495K followers, an engagement rate of 0.008%. Measured over 49 original posts, its engagement rate beats 26% of 4,104 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 12K times each, and 0.324% of those impressions turn into an interaction. That is about 2.37% 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 37% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 49 posts sampled, 65% carry an image or video, 6% are part of a thread and 100% link out. The account's strongest tracked post pulled 823 interactions, about 22x its own typical post. Recurring topics include #dyslipidemia, #ai, #ascvd.

What is JAMA's engagement rate on X?
JAMA (@JAMA_current) has an engagement rate of 0.008%, based on the median interactions across 49 original posts from the last 30 days against 494,860 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, JAMA sits above the 10th percentile of the 39,683 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 26% of the tracked X accounts closest to it in follower count (4,104 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 16:00 UTC, and Tuesday is its busiest day, at roughly 1.9 posts per day across the measured window.

Keep going

JAMA (@JAMA_current) Engagement Rate - 0.008% | PlayerSells