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Cleveland Clinic MD engagement report

@CleClinicMD - 291K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 20, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 291K followers
Per impression
0.456%
1.3K views on a typical post
Reach
0.45%
of its followers see a post
Typical post
6
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 53% of days
Peak time
10:00 UTC
Tuesday

A typical post picks up 6 interactions against 291K followers, an engagement rate of 0.002%. Measured over 40 original posts, its engagement rate beats 10% of 21,185 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 1.3K times each, and 0.456% of those impressions turn into an interaction. That is about 0.452% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 98% carry an image or video and 100% link out. The account's strongest tracked post pulled 87 interactions, about 15x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on October 20, 2026.

Compared with accounts its own size

Cleveland Clinic MD's engagement rate beats 10% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 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 0.002%, Cleveland Clinic MD sits below the 10th percentile of the 213,282 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,282 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,403 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 percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video98% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 98% 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 276 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

  • Aug 19, 202615x their median

    A 29-year-old U.S. Army staff sergeant was referred after being diagnosed with chondrosarcoma in the left side of his pelvis. 10 years ago, the only options after resecting the cancer would be to amputate the leg or leave a flail leg. In this case, our sarcoma team opted to replace the removed bone with a custom 3D-printed implant. More about the case: https://t.co/Ftv0sGwTnU

    6918007.8K viewsView on X
  • Aug 28, 20264.2x their median

    A 49-year-old man traveled from Peru after being diagnosed with a large secondary brain tumor more than four decades after surviving childhood medulloblastoma. MRI revealed a six-centimeter meningioma compressing his brain. Within days of arriving, he underwent a successful 12-hour surgery followed by advanced molecular testing, imaging and personalized radiation therapy. He continues to do well with virtual follow-up care from his home in Peru. More about the case: https://t.co/w6eo62i4Hv

    173413.4K viewsView on X
  • Aug 27, 20263.8x their median

    A 79-year-old woman with no previous health issues presented with newly diagnosed melanoma on the right shoulder. Biopsy confirmed stage IIB melanoma, with a 3.1 mm thick, ulcerated lesion. Because of the stage of disease, the patient underwent a staging PET scan, which identified a suspicious lymph node above the right clavicle. More about the case: https://t.co/3HkSXC4Ddr

    175105.1K viewsView on X
  • Sep 3, 20263.2x their median

    A 53-year-old firefighter and EMT was transferred from an outside hospital to identify the underlying cause of his symptoms. He presented with unexplained fevers and night sweats and was found to have bloodstream infection with methicillin-sensitive staphylocuccus aureus, which had spread to infect the valves of his heart. More about the case: https://t.co/oFYTiwlAyF

    163001.7K viewsView on X
  • Aug 31, 20263.2x their median

    In aortic valve, root or LVOT surgery, surgeons can use landmarks on preop cardiac CT to help them avoid the conduction axis and prevent heart block: https://t.co/xU549OkWPL https://t.co/nPnUKqc4wM

    124213.3K viewsView on X
  • Sep 4, 20262.8x their median

    Our first U.S. case of robotically assisted lung transplant offers a glimpse of how this new approach shapes patient selection, operative setup, speed of recovery and more: https://t.co/Bn3w5fy6RC https://t.co/2x5MK32C6Y

    124013.0K viewsView on X
  • Oct 8, 20262.7x their median

    A 53-year-old firefighter and EMT was transferred from an outside hospital to identify the underlying cause of his symptoms. He presented with unexplained fevers and night sweats and was found to have bloodstream infection with methicillin-sensitive staphylocuccus aureus, which had spread to infect the valves of his heart. More about the case: https://t.co/oFYTiwlAyF

    123102.2K viewsView on X
  • Sep 5, 20262.7x their median

    A 51-year-old male general surgeon presented for evaluation after an outside institution found a large mass invading his lumbar spine and left common iliac vein: https://t.co/mUNVV2xHee https://t.co/5bWiBrWwIq

    124005.3K viewsView on X
  • Sep 2, 20262.7x their median

    After a pregnant woman’s routine ultrasound revealed ovarian cancer, clinicians successfully removed the tumor and continued to provide maternal-fetal care up through the baby’s birth. A healthy boy was delivered at 37 weeks by cesarean section. More about the case: https://t.co/sV5zofoNhl

    123012.4K viewsView on X
  • Aug 22, 20262.7x their median

    A 72-year-old man with a history of smoking presented with a diagnosis of Extramammary Paget disease of his oral mucosa. The patient had been seen by a community-based oral and maxillofacial surgeon due to unexplained weight loss over one year, as well as tenderness of his oral mucosa when eating, drinking and toothbrushing over the previous two months. More about the case: https://t.co/J8ILakeOUi

    124003.9K 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 6 interactions against 291K followers, an engagement rate of 0.002%. Measured over 40 original posts, its engagement rate beats 10% of 21,185 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 1.3K times each, and 0.456% of those impressions turn into an interaction. That is about 0.452% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 98% carry an image or video and 100% link out. The account's strongest tracked post pulled 87 interactions, about 15x its own typical post.

What is Cleveland Clinic MD's engagement rate on X?
Cleveland Clinic MD (@CleClinicMD) has an engagement rate of 0.002%, based on the median interactions across 40 original posts from the last 30 days against 291,421 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Cleveland Clinic MD sits below the 10th percentile of the 213,282 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 @CleClinicMD have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom 10% 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 @CleClinicMD post?
Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 1.33 posts per day across the measured window.

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