NIH engagement report
@NIH - 1.7M followers on X
Measured over 56 original posts from a 30-day window, last computed on October 26, 2026.
Engagement
A typical post picks up 44 interactions against 1.7M followers, an engagement rate of 0.003%. Posts are seen about 9.6K times each, and 0.457% of those impressions turn into an interaction. That is about 0.55% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 56 posts sampled, 91% carry an image or video, 7% are part of a thread and 88% link out. The account's strongest tracked post pulled 54K interactions, about 1219x its own typical post. Recurring topics include #safetosleep, #disabilityhealthresearch, #healthyagingmonth.
Measured over 56 original posts from a 30-day window, last computed on October 26, 2026. Recurring tags: #safetosleep, #disabilityhealthresearch, #healthyagingmonth.
Where this sits in the catalog
At 0.003%, NIH sits below the 10th percentile of the 204,880 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 | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 Thursday 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 | 91% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 88% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 91% 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.
- 88% 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 364 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 17, 20261219x their median
At HHS, we are taking bold new actions against Lyme disease, alpha-gal syndrome, and other tick-borne diseases—accelerating research, improving care, and driving new treatments. Millions of Americans need faster diagnoses, better care, and real answers. Thank you Dennis Quaid for lending your voice to this important cause and joining me in this video.
- Oct 19, 202627x their median
Today, @POTUS, joined by @FLOTUS, signed an executive order directing HHS to establish a new Women’s Health Division at @NIH to strengthen research, accelerate medical breakthroughs, and improve health outcomes for women and girls. The order also establishes a White House Women’s Health Task Force, co-chaired by @SecKennedy and @SusieWiles47, to coordinate federal efforts to advance women’s health at every stage of life—from childhood and adolescence to reproductive health, menopause, and healthy aging.
- Oct 22, 202611x their median
NIH researchers have discovered a natural defense mechanism that may help the body prevent plaque from building up inside arteries, opening new possibilities for treating atherosclerotic cardiovascular disease, a leading cause of death in the U.S. https://t.co/6EInu91oLo
- Aug 7, 20266.6x their median
NEWS: NIH selects Dr. Judy Cho as director of the National Human Genome Research Institute. Read the full story ➡️ https://t.co/U11SeRfsrf https://t.co/d6YK7jjRUU
- Sep 25, 20265.6x their median
Researchers funded by NIH found that people with depression may struggle to make new neurons in the hippocampus, a part of the brain important for memory. While more research is needed, the findings could help researchers identify new, more precise treatments for depression in the future. Learn more: https://t.co/W7nWZg47jb
- Aug 3, 20265.3x their median
HHS is seeking public input to inform a comprehensive update to the National Plan to Address Alzheimer’s Disease. Share your perspectives on AD/ADRD research, prevention, early detection, diagnosis, care, services, supports, and coordination. Comments are due August 15, 2026: https://t.co/7hzJpnUWIk
- Aug 21, 20264.9x their median
Scientists uncovered new clues about how specialized immune cells in the brain called microglia change with age. NIH-funded research found that immune cells originating in bone marrow can enter the human brain and contribute to its population of microglia. These findings may open new avenues for studying and treating neurological diseases. Learn more: https://t.co/NlaqwDQftg.
- Sep 19, 20264.3x their median
Scientists are learning more about how abnormal tau proteins, linked to neurodegenerative disorders, interact with mitochondria to harm brain cells. Early studies showed that blocking this process helped protect the brain in animal models. While more research is needed, having a better understanding of this process could lead to new interventions for conditions like Alzheimer’s. Learn more: https://t.co/N3MImkNrjK
- Sep 20, 20264.1x their median
🧩 NIH-supported researchers are uncovering new connections in autism research. Scientists have identified the largest of its kind detailed map of the protein interaction network involving genes associated with severe autism risk. 🔎 These findings offer new clues about how autism-related genetic risk factors can interact in concerted ways to affect the body. Understanding these connections could also help researchers identify potential targets for future treatments for people with severe autism. 📸 Credit: Quantitative Biosciences Institute (QBI) 🔗 Learn more: https://t.co/Xz5tH6IaHj
- Sep 14, 20264.0x their median
NEWS: NIH launches $21 million initiative to improve understanding of sex-specific hormonal biology. Read the full story ➡️ https://t.co/o6HIpkHq7t. https://t.co/CZSOqNvPFi
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 44 interactions against 1.7M followers, an engagement rate of 0.003%. Posts are seen about 9.6K times each, and 0.457% of those impressions turn into an interaction. That is about 0.55% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 56 posts sampled, 91% carry an image or video, 7% are part of a thread and 88% link out. The account's strongest tracked post pulled 54K interactions, about 1219x its own typical post. Recurring topics include #safetosleep, #disabilityhealthresearch, #healthyagingmonth.
- What is NIH's engagement rate on X?
- NIH (@NIH) has an engagement rate of 0.003%, based on the median interactions across 56 original posts from the last 30 days against 1,749,024 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.003%, NIH sits below the 10th percentile of the 204,880 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 @NIH have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @NIH post?
- Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 2.47 posts per day across the measured window.