NIH Innovates engagement report
@NIH_Innovates - 1.0M followers on X
Measured over 40 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 18 interactions against 1.0M followers, an engagement rate of 0.002%. Measured over 40 original posts, its engagement rate beats 16% of 3,809 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 4.4K times each, and 0.399% of those impressions turn into an interaction. That is about 0.425% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 85% carry an image or video and 100% link out. The account's strongest tracked post pulled 70 interactions, about 3.9x its own typical post.
Measured over 40 original posts from a 30-day window, last computed on August 31, 2026.
Compared with accounts its own size
NIH Innovates's engagement rate beats 16% of the tracked X accounts closest to it in follower count (3,809 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 28% 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%, NIH Innovates 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 14:00 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% | 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 24, 20263.9x their median
🔬NIH-funded researchers engineered an enzyme that can reverse a common type of protein damage which can cause immune system and other problems as people get older. These results suggest this damage might one day be repaired within the body to help treat age-related disorders. Read the full paper ➡️ https://t.co/Syqy6DpUxZ
- Aug 19, 20263.5x their median
New science. Same cohort. The HEALthy Brain and Child Development (HBCD) Study 2.1 Data Release delivers updated longitudinal data from 3,500+ participants, new data elements, and fixes to known issues. Researchers: request secure access to HBCD data through the NIH Brain Development Cohorts (NBDC) Data Hub at https://t.co/EdeFeYJVmt.
- Aug 12, 20263.4x their median
National Cancer Institute Director Dr. Anthony Letai outlines what grant applicants proposing studies with animal models should address, beginning on the October 5, 2026, deadline—including the rationale for animal use and a path to human-model validation. Read the new post on NCI’s Bottom Line, a blog about grants and more: https://t.co/6JxdTcXtGb
- Aug 8, 20262.2x their median
NIH-supported researchers validated a standardized tool that measures functional vision, how children with cerebral/cortical visual impairment (CVI) use their vision in everyday life. The study found the assessment is reliable, valid, and sensitive enough to detect changes over time. These advances could help researchers evaluate whether new treatments improve children's ability to navigate daily activities -- not just their clinical vision test results. Learn more: https://t.co/vwkVi1NDxG
- Jul 28, 20262.2x their median
New study results provide the first direct evidence that certain molecules secreted from brown fat can regulate the metabolism of other organs. The findings could inform strategies to counter the effects of obesity and aging. Read more: https://t.co/PLSJkc89SK
- Aug 14, 20262.1x their median
📢 New to cloud computing or looking to expand your workflow? NIH's Common Fund Data Ecosystem (CFDE) Cloud Workspace is funding pilot projects ($5K–$10K, 6 months) using AWS, Google Cloud, or Azure. Have an idea? Put it forward — proposals are reviewed on a rolling basis. 🔗 https://t.co/Ms8LJ62Nsf
- Aug 21, 20262.1x their median
What can we learn from the journey of a gene therapy candidate before it reaches clinical testing? NIH researchers share insights from the PaVe-GT program that may help accelerate the development of future gene therapies for rare diseases. Read more: https://t.co/2qWuZYFWne https://t.co/ujKUelnd6t
- Aug 18, 20262.1x their median
As part of our efforts to simplify the landscape of NIH funding opportunities, NIH is consolidating individual K award notices of funding opportunity (NOFOs) into a streamlined set of parent NOFOs organized by program type. These updates will make career development awards NOFOs easier to navigate, reduce administrative burden, and align policies across K award programs, beginning with application due dates on or after October 12, 2027. https://t.co/wike87o2Oz
- Aug 25, 20262.0x their median
NIH received nearly 3,300 responses on a proposed approach to cap the number of Research Project Grants a researcher can be principal investigator on simultaneously. Dive into the feedback and next steps here: https://t.co/94aaXu0GG4 https://t.co/qrMXFIZrcd
- Aug 6, 20261.9x their median
Need help linking your ORCID iD to your eRA Commons Personal Profile? NIH's new step-by-step guide walks you through the process: https://t.co/LYy9rV2edW https://t.co/SytI6pz9S7
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 18 interactions against 1.0M followers, an engagement rate of 0.002%. Measured over 40 original posts, its engagement rate beats 16% of 3,809 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 4.4K times each, and 0.399% of those impressions turn into an interaction. That is about 0.425% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 85% carry an image or video and 100% link out. The account's strongest tracked post pulled 70 interactions, about 3.9x its own typical post.
- What is NIH Innovates's engagement rate on X?
- NIH Innovates (@NIH_Innovates) has an engagement rate of 0.002%, based on the median interactions across 40 original posts from the last 30 days against 1,032,243 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, NIH Innovates 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_Innovates have real engagement?
- Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (3,809 accounts), which puts it in the bottom quarter 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 @NIH_Innovates post?
- Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 1.43 posts per day across the measured window.