Back to @Health_Affairs's profile

Health Affairs engagement report

@Health_Affairs - 163K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 163K followers
Per impression
0.363%
826 views on a typical post
Reach
0.51%
of its followers see a post
Typical post
3
interactions (median)
Saved
0.061%
0 bookmarks on a typical post
Posting rate
1.33/day
active 43% of days
Peak time
12:00 UTC
Thursday

A typical post picks up 3 interactions against 163K followers, an engagement rate of 0.002%. Measured over 40 original posts, its engagement rate beats 7% of 20,444 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 826 times each, and 0.363% of those impressions turn into an interaction. That is about 0.508% 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, though only 43% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 40 posts sampled, 40% carry an image or video and 100% link out. The account's strongest tracked post pulled 16 interactions, about 5.3x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on October 24, 2026.

Compared with accounts its own size

Health Affairs's engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 19% 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%, Health Affairs sits below the 10th percentile of the 205,475 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 12:00 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.

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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video40% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 40% 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 281 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

  • Oct 20, 20265.3x their median

    CMS’s decision to no longer allow Medicaid 1115 waiver funding for workforce initiatives will challenge state efforts to recruit and retain safety-net clinicians. | Forefront Yara A. Halasa-Rappel, et al. | @ForHealthCnsltg https://t.co/keERPFIuvR

    92148.3K viewsView on X
  • Oct 19, 20264.0x their median

    Equity and national performance are not competing goals. Improving outcomes in the population bearing the greatest prostate cancer burden is one pathway to improving the US’s overall cancer outcomes. | Forefront Taiwo Opeyemi Aremu | @WeAreTouro https://t.co/vaVUjjxFfQ

    63121.5K viewsView on X
  • Oct 6, 20263.7x their median

    We can strengthen formulary decision making by enhancing governance, incorporating patient experience into evidence review, broadening how value is assessed, and evaluating whether patient participation meaningfully influences coverage decisions. | Forefront Marc M. Boutin, et al. | @IVI_health https://t.co/i8DofJHgG4

    83001.4K viewsView on X
  • Sep 15, 20263.7x their median

    As states consider requiring employer contributions to fund Medicaid, policy makers can take steps to avoid unintended consequences and overcome potential barriers. | Forefront Kody Kinsley, et al. | @MilkenInstitute https://t.co/7c6IF8KkIK

    81112.1K viewsView on X
  • Sep 4, 20263.3x their median

    If CMS is to write a template for other states, or if Congress is to buy this design at national scale, it is important to understand why these policies may fail to deliver expected outcomes. | Forefront @ZiziElsisi, et al. | @UW https://t.co/iLTEUNrEsg

    52211.4K viewsView on X
  • Oct 8, 20263.0x their median

    HIPAA, which turned 30 years old in August, merits new attention, particularly because it is and will be the primary statutory vehicle for addressing today’s and tomorrow’s debates on artificial intelligence in medicine and health care affordability. | Forefront Chris Jennings, et al. | Jennings Policy Strategies Inc. https://t.co/2EOIOMWJO4

    61111.3K viewsView on X
  • Oct 23, 20262.7x their median

    To appropriately hold participants accountable for population outcomes, value-based payment models must account for the factors that drive variation in outcomes outside of participant performance. | Forefront Danielle Browne, et al. | @UTSWMedCenter https://t.co/JzonwpPDSj

    4130836 viewsView on X
  • Oct 20, 20262.7x their median

    Reducing health care spending and improving population health needs a comprehensive approach to replace the current fragmented silo-based approaches. | Forefront Kirsten Axelsen | @DLA_Piper https://t.co/neWaiVgaF3

    6011978 viewsView on X
  • Oct 13, 20262.7x their median

    As the availability of post-market real-world evidence expands, more attention to its promise, limitations, and oversight in the context of accelerated approval is needed. | Forefront Peter J. Neumann, et al. | @TuftsMedicalCtr https://t.co/YxGScBaiBW

    51111.0K viewsView on X
  • Oct 21, 20262.3x their median

    Anna Holdiman @UTHealthHouston and coauthors assess: ➡️ How delays in substance use disorder treatment are associated with homelessness ➡️ How those delays impact interaction with the criminal legal system 📖 https://t.co/E0IOgPtjhU https://t.co/ZKExRv0DVr

    4210622 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 3 interactions against 163K followers, an engagement rate of 0.002%. Measured over 40 original posts, its engagement rate beats 7% of 20,444 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 826 times each, and 0.363% of those impressions turn into an interaction. That is about 0.508% 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, though only 43% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 40 posts sampled, 40% carry an image or video and 100% link out. The account's strongest tracked post pulled 16 interactions, about 5.3x its own typical post.

What is Health Affairs's engagement rate on X?
Health Affairs (@Health_Affairs) has an engagement rate of 0.002%, based on the median interactions across 40 original posts from the last 30 days against 162,631 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Health Affairs sits below the 10th percentile of the 205,475 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 @Health_Affairs have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,444 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 @Health_Affairs post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.

Keep going