NIH engagement report
@NIH - 1.7M followers on X
Measured over 47 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 69 interactions against 1.7M followers, an engagement rate of 0.004%. Measured over 47 original posts, its engagement rate beats 32% of 3,809 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 17K times each, and 0.412% of those impressions turn into an interaction. That is about 0.958% 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, with activity on roughly 77% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 47 posts sampled, 96% carry an image or video and 94% link out. The account's strongest tracked post pulled 54K interactions, about 782x its own typical post. Recurring topics include #brainconference, #inventthefuture.
Measured over 47 original posts from a 30-day window, last computed on August 31, 2026. Recurring tags: #brainconference, #inventthefuture.
Compared with accounts its own size
NIH's engagement rate beats 32% of the tracked X accounts closest to it in follower count (3,809 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 34% 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 0.004%, NIH sits above the 10th percentile of the 36,960 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.435% |
| 90th percentile | 2.10% |
| 99th percentile | 159.8% |
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 Wednesday 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 73K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -2% | 96K |
| 14:00 UTC | -4% | 99K |
| 15:00 UTC | -2% | 102K |
| 16:00 UTC | -3% | 99K |
| 17:00 UTC | -2% | 92K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -2% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 67K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -1% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 233K |
| Monday | 0% | 292K |
| Tuesday | -3% | 284K |
| Wednesday | -1% | 253K |
| Thursday | -2% | 246K |
| Friday | -3% | 255K |
| Saturday | +3% | 229K |
Best tweets
- Aug 17, 2026782x 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.
- Aug 7, 20264.2x 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
- Aug 3, 20263.4x 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, 20263.1x 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.
- Aug 17, 20262.4x their median
The future of biomedical research depends on sharing high-quality data. The NIH S-index aims to recognize and reward researchers whose shared datasets drive new discoveries and advance science beyond publications alone. Congratulations to the winners of the NIH S-index Challenge, whose innovative approaches are helping shape this new metric for data sharing! Learn more about the winning teams: https://t.co/5Uo0rRxoPD.
- Jul 31, 20262.3x their median
Science without risk is... boring. Incremental. Safe. We asked current recipients of NIH's High-Risk, High-Reward Research Program to fill in the blank, and their answers say it all. 🎥👇 The HRHR Program exists for the ideas too bold, too early, or too unconventional for traditional funding pathways. The scientists in this video are proof of what happens when you bet on transformative thinking. 💡 Got a high-risk, high-reward idea? Funding opportunities are open now. Learn more and apply: https://t.co/veUCQWjSvA
- Aug 5, 20262.2x their median
Tune in TOMORROW at 1 pm ET for the next talk in the NIH Scientific Freedom Lecture Series, titled “The Reality of Human Sex Differences: Why It Matters for Science, Medicine, and Policy, and Why We Need to Talk About It.” I’ll be speaking with Dr. Carole Hooven, a nonresident senior fellow at the American Enterprise Institute and an associate in Harvard University’s Department of Psychology. 🎥 NIH staff may join in person or via NIH Videocast, and the public is welcome to watch live through NIH Videocast ➡️ https://t.co/bD4ySMev0b
- Jul 30, 20262.2x their median
NIH researchers may have found a way to strike at a notoriously difficult target that drives cancer spread. By disrupting the ability of cancer stem cells to sense their local environmental cues, they became more vulnerable to treatment. Learn more: https://t.co/VVmmCLuGrZ. https://t.co/ez874GQxMO
- Aug 24, 20262.1x their median
NIH researchers have created the largest known database providing a reference for the size of individual cone photoreceptors, the cells in the retina responsible for color vision, across the lifespan. These references for “normal” cone sizes will help guide early disease detection and track treatment response. Read more: https://t.co/UfjXuVMT0j
- Aug 26, 20262.0x their median
🔬The NIH Stadtman Investigator Program is accepting applications for tenure-track positions in the NIH Intramural Research Program. As a faculty member in the IRP, you’ll join a dynamic research community offering stable funding, intellectual freedom, shared resources, and access to a wide range of scientific expertise. 📅 Apply by Sept. 30, 2026 🔗 Apply: https://t.co/gaOgG1blMz 📧 Questions? stadtman@nih.gov
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 69 interactions against 1.7M followers, an engagement rate of 0.004%. Measured over 47 original posts, its engagement rate beats 32% of 3,809 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 17K times each, and 0.412% of those impressions turn into an interaction. That is about 0.958% 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, with activity on roughly 77% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 47 posts sampled, 96% carry an image or video and 94% link out. The account's strongest tracked post pulled 54K interactions, about 782x its own typical post. Recurring topics include #brainconference, #inventthefuture.
- What is NIH's engagement rate on X?
- NIH (@NIH) has an engagement rate of 0.004%, based on the median interactions across 47 original posts from the last 30 days against 1,748,301 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, NIH sits above the 10th percentile of the 36,960 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?
- Its engagement rate beats 32% of the tracked X accounts closest to it in follower count (3,809 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 @NIH post?
- Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 1.87 posts per day across the measured window.