Mel Mann, MBA, M.Ed, Major US Army (Retired) engagement report
@MelDMann - 478K followers on X
Measured over 31 original posts from a 30-day window, last computed on August 28, 2026.
Engagement
A typical post picks up 97 interactions against 478K followers, an engagement rate of 0.02%. Measured over 31 original posts, its engagement rate beats 41% of 3,774 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 3.8K times each, and 2.54% of those impressions turn into an interaction. That is about 0.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 84% carry an image or video and 32% link out. The account's strongest tracked post pulled 37K interactions, about 381x its own typical post.
Measured over 31 original posts from a 30-day window, last computed on August 28, 2026.
Compared with accounts its own size
Mel Mann, MBA, M.Ed, Major US Army (Retired)'s engagement rate beats 41% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 7 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 77% 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 0.02%, Mel Mann, MBA, M.Ed, Major US Army (Retired) sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 12:00 UTC, and Friday 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% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Oct 21, 2015381x their median
20 yrs ago, I had terminal #Cancer with no cure in sight. Read about my miracle! https://t.co/MfHdMK7BSa #Retweet https://t.co/kWXiiOKQw3
- Aug 21, 2026148x their median
Buck Martinez announced today that he is now cancer free So happy for Buck https://t.co/h0okFWUeIz
- Aug 21, 202625x their median
The world's oldest living person is celebrating turning 117 years old. Read more: https://t.co/NqJlNVVwQI https://t.co/pE9IZmTDpc
- Aug 21, 202614x their median
Stomach pain location can give important clues. This map breaks down common causes by area - from acid reflux between the ribs to appendicitis on the lower right. Educational only; see a doctor for persistent pain. https://t.co/xIwV2CGhWS
- Aug 20, 202611x their median
He never charged copays, often covered medications out of his own pocket, and gave out his personal phone number so families could reach him anytime. His dedication to the community was unwavering. Then, in a cruel twist of fate, Dr. Z was diagnosed with two different forms of cancer. A paperwork issue caused him to lose his own health insurance, leaving him facing radiation treatments costing more than $150,000. When his patients learned of his situation, they rallied together. More than 3,400 people contributed to a GoFundMe campaign, raising over $250,000 to help cover his medical bills. Even while battling cancer, Dr. Z continued seeing patients every day. His remarkable story of compassion and community reciprocity was later honored in the official U.S. Congressional Record.
- Aug 20, 202611x their median
Most exercise and aging studies can't answer a basic question: is muscle deterioration from aging itself, or just from decades of moving less? A new Nature Aging study solved this by recruiting older adults who moved as much as people in their twenties. The researchers from Amsterdam UMC and Maastricht University recruited four distinct groups: young adults in their twenties, older adults whose daily step counts and high-intensity activity matched the young group, older adults who had trained consistently for years (three structured hour-long sessions per week for over a year), and older adults with early physical impairment. They took muscle biopsies before and after a one-hour cycling session, then measured over 24,000 gene transcripts, 135 metabolites, and 1,383 lipid species. By matching activity levels between young and older groups, any molecular differences couldn't be blamed on the older adults simply moving less. This isolated aging from inactivity for the first time at this molecular depth. Key findings: • The defining molecular signature of muscle aging is an energy crisis. Comparing young adults to activity-matched older adults, 1,106 genes were downregulated with age. These genes build the mitochondrial machinery that produces cellular energy: ATP synthase, cytochrome c oxidase, and NADH dehydrogenase subunits. Mitochondria are the power plants of cells, converting nutrients into ATP, the energy currency cells use to function. When these genes decline, cells lose their ability to generate energy efficiently. • NAD+ levels declined and triglycerides accumulated inside aging muscle. NAD+ is a molecule required for energy production and cellular repair. Lower NAD+ means less capacity to convert fuel into usable energy. Triglycerides are stored fats, their accumulation inside muscle indicates unburned fuel piling up as the tissue loses its ability to process it. • More than half the molecular signature of muscle aging was absent in trained older adults. Specifically, 57.1% of age-related gene downregulation and 55.9% of upregulation were missing in the trained group. Their muscle resembled young adults far more than their chronological age would predict. • The changes training preserved were specifically the energy metabolism ones. Genes like NDUFS1 and COX5A, which were depleted in normally active and impaired older adults, sat at youthful levels in the trained group across all five mitochondrial respiratory complexes. The single most prominent feature of muscle aging turned out to be the single most preventable. • Being generally active was not enough. Structured training was the difference. The normally active older adults walked as much as young adults, and their energy metabolism genes declined anyway. What preserved the youthful molecular profile was structured, sustained training. Filling a step counter and being genuinely trained are not equivalent at the molecular level. • Roughly half of muscle aging persisted regardless of training. Changes in genes controlling synaptic transmission (how nerves communicate with muscle) and WNT signaling (a pathway regulating tissue maintenance and stem cell function) appeared in all older adults, trained or not. This unavoidable half is where drugs will have to work. • The fittest muscle mounted the largest inflammatory response to exercise. All groups activated stress and immune genes after exercise, including IL6, IL1B, and TNF. But the magnitude scaled with fitness. Trained older adults most closely resembled young adults in their response, followed by normally active, with impaired older adults showing the most blunted response. The stress response to exercise appears to be the mechanism of adaptation, not damage to be minimized. This raises a concern about anti-inflammatory longevity strategies. If the inflammatory stress response is how exercise produces its benefits, chronically suppressing inflammation may blunt the adaptation that exercise depends on. It doesn't mean inflammation is beneficial in general, but the timing and context matter. A separate discovery: the proteasome appears to regulate NAD+. The proteasome is the cellular machinery that breaks down damaged proteins. When researchers inhibited it, NAD+ levels rose in both muscle and liver cells to a degree comparable to NAD+ precursor supplements. This opens a new route to understanding NAD+ decline that operates through protein turnover rather than just supplying more raw material. The study draws a clear line between what lifestyle can address and what will require therapeutics. The energy metabolism decline, mitochondrial deterioration, and NAD+ depletion that define muscle aging are largely preventable through structured training. The synaptic and signaling changes that persist in all older adults represent the unavoidable half where drugs will need to work. The decisions made about structured training in midlife determine which molecular trajectory muscle follows in later decades. Half of muscle aging is optional. The other half isn't. Knowing which changes belong to each category is knowing where behavior ends and biology takes over.
- Aug 28, 20269.8x their median
On the way to check into the hospital, I took Super Bubba on a dinosaur hunt. He picked out a new T-Rex. 🦖 Tomorrow he has surgery to place a chemotherapy port for the second time in his short life. His first port was removed a couple of months ago because he was cancer-free. Unfortunately, things change. Change is the one guarantee in life. A trip to the store for a new toy isn’t a consolation prize for brain cancer. A new toy to open up and play with when we arrive makes the hospital stay a little more bearable for him. The hospital stay will consist of pain, poking, prodding, and doing things we both don’t want to do but have to do for his cure. I do my best to make as many happy moments for him as possible. He had a good time at the store. I’m so proud of this three-year-old cancer warrior who teaches me about resilience and endurance every day. I pray for his second miracle: to be completely cured of brain cancer. 🙏💪🎗️💛 #prayers #cancer @RevAJKingdom
- Aug 21, 20267.3x their median
Can walnut consumption really slow down how fast your body ages? The research shows yes. Research from Loma Linda University + Hospital Clínic Barcelona (WAHA study) shows daily walnuts (30–60g) can fight “Inflammaging” <-- a hallmark of aging. In a 2-year randomized trial of 600+ older adults: Significantly lowered 6 key inflammatory markers (up to 11.5%), including IL-1b. Decreased chronic low-grade inflammation tied to aging: Regular walnut intake significantly decreased 6 out of 10 specific inflammatory biomarkers in older adults over a two-year period Trend toward slower leukocyte telomere shortening (a marker of biological aging) Supports healthier aging & lower heart disease risk beyond just cholesterol. *30-60 grams is 1/4 to 1/2 cup of shelled walnut halves Simple, science-backed longevity food and delicious too!
- Aug 21, 20263.2x their median
🚨 A man in New York has been cured of sickle cell anemia! In a historic medical breakthrough, a 21-year-old Long Island man has become the first patient in New York cured of sickle cell anemia using the cutting-edge gene therapy Lyfgenia. Sebastien Beauzile, who had suffered from debilitating pain and frequent hospitalizations for over two decades, underwent the revolutionary one-time treatment at Cohen Children’s Medical Center in 2025. Lyfgenia works by harvesting a patient's own bone marrow stem cells, genetically modifying them in a lab to insert a healthy hemoglobin gene, and infusing them back into the patient. Since his modified cells were reintroduced, Beauzile’s body has successfully produced healthy, normal-shaped red blood cells, entirely freeing him from the excruciating chronic pain crises that once dominated his daily life. This milestone represents a monumental paradigm shift for sickle cell disease, a hereditary blood disorder that has historically lacked a true cure. Unlike traditional bone marrow transplants, which carry severe risks of rejection and require a matching donor, this gene therapy uses the patient’s own cells to eliminate those complications. While the multi-million dollar treatment remains highly complex and costly, researchers and civil rights advocates hope this historic success will catalyze broader, more equitable access to life-saving genetic cures for disproportionately affected communities. source: CBS New York. Long Island man is first in New York history to be cured of sickle cell anemia.
- Aug 17, 20262.9x their median
AI alone will provide better medical care than physicians, or even physicians working with AI. AI will likely be ready to be deployed for real-world cognitive medical tasks in some, maybe many, workflows by 2030. Now is the time for leadership to develop workflows and regulation. Read more in @JAMA_current with @vkhosla, @nealkhosla, and @AbeBakerButler. https://t.co/D8fX5wqkue
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 97 interactions against 478K followers, an engagement rate of 0.02%. Measured over 31 original posts, its engagement rate beats 41% of 3,774 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 3.8K times each, and 2.54% of those impressions turn into an interaction. That is about 0.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 84% carry an image or video and 32% link out. The account's strongest tracked post pulled 37K interactions, about 381x its own typical post.
- What is Mel Mann, MBA, M.Ed, Major US Army (Retired)'s engagement rate on X?
- Mel Mann, MBA, M.Ed, Major US Army (Retired) (@MelDMann) has an engagement rate of 0.02%, based on the median interactions across 31 original posts from the last 30 days against 477,511 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.02%, Mel Mann, MBA, M.Ed, Major US Army (Retired) sits above the 25th percentile of the 36,654 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 @MelDMann have real engagement?
- Its engagement rate beats 41% of the tracked X accounts closest to it in follower count (3,774 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 @MelDMann post?
- Most posts go out around 12:00 UTC, and Friday is its busiest day, at roughly 2.6 posts per day across the measured window.