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Nature Medicine engagement report

@NatureMedicine - 358K followers on X

Measured over 39 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Bottom quarter for its size
Per follower
0.008%
of 358K followers
Per impression
0.302%
9.9K views on a typical post
Reach
2.78%
of its followers see a post
Typical post
30
interactions (median)
Saved
0.05%
5 bookmarks on a typical post
Posting rate
1.3/day
active 37% of days
Peak time
16:00 UTC
Monday

A typical post picks up 30 interactions against 358K followers, an engagement rate of 0.008%. Measured over 39 original posts, its engagement rate beats 17% of 4,310 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 9.9K times each, and 0.302% of those impressions turn into an interaction. That is about 2.78% 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 37% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 39 posts sampled, 100% link out. The account's strongest tracked post pulled 182 interactions, about 6.1x its own typical post. Recurring topics include #esccongress, #aging, #agingclocks.

Measured over 39 original posts from a 30-day window, last computed on September 2, 2026. Recurring tags: #esccongress, #aging, #agingclocks.

Compared with accounts its own size

Nature Medicine's engagement rate beats 17% of the tracked X accounts closest to it in follower count (4,310 accounts, accounts of similar size (decile 6 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 17% 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 0.008%, Nature Medicine sits above the 10th percentile of the 41,681 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.013%.

p100.002%
p250.013%
p50 (median)0.083%
p750.447%
p902.07%
p99143.4%
Engagement rate as a share of followers, across the 41,681 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 89,603 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 percentile0.002%
25th percentile0.013%
50th percentile0.083%
75th percentile0.447%
90th percentile2.07%
99th percentile143.4%

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 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.

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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%58K
01:00 UTC-2%59K
02:00 UTC-3%58K
03:00 UTC-4%62K
04:00 UTC-6%50K
05:00 UTC-5%48K
06:00 UTC-5%56K
07:00 UTC-4%60K
08:00 UTC-4%70K
09:00 UTC-4%81K
10:00 UTC-3%83K
11:00 UTC-3%91K
12:00 UTC-2%100K
13:00 UTC-2%109K
14:00 UTC-3%112K
15:00 UTC-2%116K
16:00 UTC-4%113K
17:00 UTC-3%105K
18:00 UTC-2%98K
19:00 UTC-2%92K
20:00 UTC-1%86K
21:00 UTC-1%76K
22:00 UTC-2%66K
23:00 UTC-1%59K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%255K
Monday+1%328K
Tuesday-2%353K
Wednesday-4%317K
Thursday-2%269K
Friday-3%276K
Saturday+3%249K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 25, 20266.1x their median

    🌟Great news piece in @Nature. The brain struggles to make new neurons in people with #depression. https://t.co/vAtk8WmvHg

    137404114K viewsView on X
  • Aug 21, 20264.2x their median

    Dysregulated adult hippocampal neurogenesis in major depressive disorders https://t.co/BdwWbayXOv

    101210313K viewsView on X
  • Aug 25, 20263.8x their median

    Oligodendrocyte dysfunction in human age-related cognitive decline https://t.co/Htw16EBJYC

    83271313K viewsView on X
  • Aug 17, 20263.1x their median

    New research shows how #aging affects tissue morphology across 40 types, using histopathological images and blood transcriptomic data to develop #AgingClocks that reflect health and disease. https://t.co/Tg5w4HR9eG

    71211112K viewsView on X
  • Aug 27, 20263.0x their median

    Ahead of the 20-year anniversary of induced pluripotent stem cells #iPSCs, Joseph Wu & colleagues review how this technology has moved from bespoke experimental models toward standardized, engineered biological medicines. https://t.co/xx86z0G1Mr

    71180012K viewsView on X
  • Jun 10, 20262.7x their median

    We are delighted to announce the @NatureMedicine #Commission on Brain Health for Economic Resilience. This a two-year global, transdisciplinary effort to define, measure, and advance #BrainHealth and cognitive capacity as foundational drivers of #EconomicResilience. See announcement: https://t.co/v6qiVpEscP

    54197211K viewsView on X
  • Aug 17, 20262.6x their median

    Manipulating biology in the real world is complex; Eran Segal & colleagues envision an #AI-driven digital organism – a system of integrated multiscale #foundationmodels – detailing how to construct and use it to advance biomedical research. https://t.co/aQdgAPAGmR

    57200212K viewsView on X
  • Aug 21, 20262.5x their median

    🌟 New research into 16 #epigenetic #AgingClocks across 51 studies, revealing insights on their responsiveness to various pharmacological and lifestyle changes. Could these aging clocks be the key to reliable #aging biomarkers? https://t.co/Nrg9qPjNZA

    48251010K viewsView on X
  • Aug 17, 20262.5x their median

    Research highlights morphological changes in 40 tissue types linked to aging. By integrating these with blood transcriptomic data, we develop aging clocks that reflect tissue integrity and organ health. Learn more: https://t.co/f8Ff588Lkx

    52220012K viewsView on X
  • Aug 18, 20262.3x their median

    A new study reveals mechanisms of resistance to daraxonrasib, highlighting putative combination approaches. Read the News & Views from Grainne O'Kane & colleagues: https://t.co/ecGM9vBtWg

    55140112K 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.

Recurring topics

#esccongress#aging#agingclocks#antimalarials#braininjury

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 30 interactions against 358K followers, an engagement rate of 0.008%. Measured over 39 original posts, its engagement rate beats 17% of 4,310 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 9.9K times each, and 0.302% of those impressions turn into an interaction. That is about 2.78% 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 37% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 39 posts sampled, 100% link out. The account's strongest tracked post pulled 182 interactions, about 6.1x its own typical post. Recurring topics include #esccongress, #aging, #agingclocks.

What is Nature Medicine's engagement rate on X?
Nature Medicine (@NatureMedicine) has an engagement rate of 0.008%, based on the median interactions across 39 original posts from the last 30 days against 357,684 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Nature Medicine sits above the 10th percentile of the 41,681 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 @NatureMedicine have real engagement?
Its engagement rate beats 17% of the tracked X accounts closest to it in follower count (4,310 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 @NatureMedicine post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 1.3 posts per day across the measured window.

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