JACC Journals engagement report
@JACCJournals - 119K followers on X
Measured over 55 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
A typical post picks up 26 interactions against 119K followers, an engagement rate of 0.022%. Measured over 55 original posts, its engagement rate beats 29% of 20,183 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 4.1K times each, and 0.63% of those impressions turn into an interaction. That is about 3.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 55 posts sampled, 96% carry an image or video and 100% link out. The account's strongest tracked post pulled 384 interactions, about 15x its own typical post. Recurring topics include #jacc, #jacccasereports, #cvd.
Measured over 55 original posts from a 30-day window, last computed on October 6, 2026. Recurring tags: #jacc, #jacccasereports, #cvd.
Compared with accounts its own size
JACC Journals's engagement rate beats 29% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 8 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 30% 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 0.022%, JACC Journals sits above the 10th percentile of the 202,076 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 | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.5% |
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 18:00 UTC, and Monday 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 | 96% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 96% 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 286 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
- Sep 28, 202615x their median
The 2026 AHA/ACC Multisociety Guideline for #Perioperative CV Management for Noncardiac Surgery reaffirms the 2024 guideline. The title reflects the reaffirmation, while recommendations & supporting content remain unchanged. https://t.co/DsgvuOLEqp #JACC https://t.co/PnzqUCQpFf
- Oct 1, 202612x their median
Beta-blockers on autopilot? In this #JACC State-of-the-Art review, revisit where evidence supports treatment and where habit keeps the refills coming. https://t.co/09akgMkcpq @rcstarling @AndreaRussoEP @DLBHATTMD @MidAmericaHeart https://t.co/YKy6gTWYsB
- Sep 26, 20265.1x their median
Conduction time analysis provides a robust and accurate approach for confirming entrainment and macro–re-entry in atrial tachycardia, improving diagnostic precision compared with existing criteria. Learn more in #JACCCEP: https://t.co/pUCvkI9y5S https://t.co/iOTzg8Xu8A
- Oct 4, 20264.2x their median
Intraseptal mapping w/ multipolar catheters is feasible & effective for #LVOT PVC ablation. #ECG predictors of site of origin may help identify pts who benefit from intraseptal mapping. https://t.co/y2rhBS5k8W #JACCCEP @DrFerminGarcia https://t.co/7LPtRjwLyB
- Oct 2, 20264.1x their median
2% of adults classified as high risk for heart disease had zero coronary calcium, and 73% lower odds of a hard #CHD event over 10 years, despite similar risk factors. New in #JACCAdvances: https://t.co/g5hX27Gq37 #IschemicHeartDisease https://t.co/lto4imiRWm
- Oct 5, 20263.1x their median
What happens to #MitralRegurgitation after #TAVR—and who is most likely to have persistent MR? Over half of patients w/ moderate-severe MR improved after TAVR. Women & pts w/ severe baseline MR less likely to improve. https://t.co/Q89908ydwc #JACCAdvances #StructuralHeart https://t.co/IfPlMHcVN0
- Sep 29, 20263.0x their median
Substrate de-networking linked to greater freedom from VT/VF but more conduction system injury. Trigger-focused ablation may be considered first when PVC triggers are identifiable, reserving substrate modification for refractory/nontriggered VF https://t.co/C8eFnX14NZ #JACCCEP https://t.co/YJY8QsWBNs
- Sep 26, 20262.8x their median
A novel #TEER system for degenerative mitral regurgitation demonstrated durable MR reduction and improvements in functional status and quality of life through 1 year. https://t.co/f4B3EEmAlN #JACCAsia #vhdMR https://t.co/Nl6ojpoKhe
- Oct 2, 20262.3x their median
Serial changes in epicardial adipose tissue attenuation were associated with progression of noncalcified and fibrous coronary plaque independent of achieved LDL-C. Insights from CAUGHT-CAD. https://t.co/08o5jYk2Cb #JACCIMG #yesCCT #CCTA #cvLipids https://t.co/nN18fs5RJn
- Sep 30, 20262.3x their median
🆕 ACC Scientific Statement: A balanced dietary pattern, not single nutrients or foods, is 🔑 to heart health. Favor whole plant foods, healthy fats & proteins, while limiting refined starches, added sugars, sodium & unhealthy fats. https://t.co/C0bPgnDaHQ #JACC #CVD #cvPrev https://t.co/Gh6QoINugF
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 26 interactions against 119K followers, an engagement rate of 0.022%. Measured over 55 original posts, its engagement rate beats 29% of 20,183 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 4.1K times each, and 0.63% of those impressions turn into an interaction. That is about 3.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 55 posts sampled, 96% carry an image or video and 100% link out. The account's strongest tracked post pulled 384 interactions, about 15x its own typical post. Recurring topics include #jacc, #jacccasereports, #cvd.
- What is JACC Journals's engagement rate on X?
- JACC Journals (@JACCJournals) has an engagement rate of 0.022%, based on the median interactions across 55 original posts from the last 30 days against 119,286 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.022%, JACC Journals sits above the 10th percentile of the 202,076 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 @JACCJournals have real engagement?
- Its engagement rate beats 29% of the tracked X accounts closest to it in follower count (20,183 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 @JACCJournals post?
- Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 2 posts per day across the measured window.