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ASM engagement report

@ASMicrobiology - 91K followers on X

Measured over 51 original posts from a 30-day window, last computed on September 21, 2026.

Engagement

Bottom quarter for its size
Per follower
0.01%
of 91K followers
Per impression
0.47%
1.9K views on a typical post
Reach
2.10%
of its followers see a post
Typical post
9
interactions (median)
Saved
0.052%
1 bookmarks on a typical post
Posting rate
1.7/day
active 50% of days
Peak time
15:00 UTC
Wednesday

A typical post picks up 9 interactions against 91K followers, an engagement rate of 0.01%. Measured over 51 original posts, its engagement rate beats 18% 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 1.9K times each, and 0.47% of those impressions turn into an interaction. That is about 2.10% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 51 posts sampled, 78% carry an image or video and 98% link out. The account's strongest tracked post pulled 610 interactions, about 68x its own typical post. Recurring topics include #asmclinmicro, #iaijournal, #journalspectrum.

Measured over 51 original posts from a 30-day window, last computed on September 21, 2026. Recurring tags: #asmclinmicro, #iaijournal, #journalspectrum.

Compared with accounts its own size

ASM's engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,444 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 23% 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 0.01%, ASM sits above the 10th percentile of the 204,880 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 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 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.

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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video78% of posts+111%+108% to +115%34K
Outbound link98% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 78% 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.
  • 98% 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 276 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Aug 24, 202668x their median

    #MicrobiologyMonday: Bunsen burners are used to reduce airborne contamination. Data in #JournalSpectrum suggest the practice is not evidence-based and, except in some cases, Bunsen burners can be removed from practice w/o compromising research integrity. https://t.co/1UCgN7UVb2 https://t.co/EAFofL5qjX

    445100659160K viewsView on X
  • Sep 11, 20266.4x their median

    Plasmid transfer among bacteria is an important driver of the spread of antibiotic resistance. In #mSystems, researchers show that physical collisions between growing colonies enable the spread of plasmids carrying antibiotic resistance genes. https://t.co/zmyZtAlIEI https://t.co/HWYKTGITrp

    4115113.3K viewsView on X
  • Sep 11, 20266.4x their median

    What do bacterial biofilms & jellyfish have in common? 🪼 🦠Researchers found that Bacillus subtilis biofilms can eject cells from their interior using a mechanism that is similar to how jellyfish fire their stinging threads. Watch Microbial Minutes: https://t.co/trGeGUUpew

    478035.7K viewsView on X
  • Aug 20, 20266.0x their median

    LPS exists in both free-living and pathogenic bacteria, suggesting it plays a critical role in bacterial physiology independent of the host. In #MMBRJournal, researchers describe recent work detailing the essential physiological contributions of LPS: https://t.co/haKhCBKE9k https://t.co/XF5f3VagYk

    3816003.3K viewsView on X
  • Sep 14, 20265.6x their median

    Scrub typhus, caused by Orientia tsutsugamushi, remains a major cause of acute undifferentiated febrile illness with an expanding global footprint. Learn about its clinical signatures, immunopathogenesis and diagnostic implications in #ClinMicroRev: https://t.co/bwq5QQcx5n https://t.co/nD2Qqtubhp

    3613103.4K viewsView on X
  • Aug 25, 20265.1x their median

    Hundreds of toxin-antitoxin loci have been identified in Helicobacter pylori, but only a small fraction has been functionally characterized. This #JBacteriology review describe all the experimentally validated TA systems found in the bacterium: https://t.co/vbY4WcXt9C https://t.co/uYPq2UCdGg

    3113023.0K viewsView on X
  • Aug 26, 20264.8x their median

    Prions replicate by templating the misfolding of native proteins, though direct evidence identifying the precise sites of replication has remained limited. This #mBio study addresses this gap by developing a new class of rationally designed protein tools: https://t.co/zry9HxlYTZ https://t.co/Lu2tXXxBJN

    3111102.4K viewsView on X
  • Sep 17, 20264.0x their median

    Happy #WorldMicroorganismDay! The word ‘microbe’ literally means 'small life.' Yet, there are species of microbes that are not microscopic and others that are not alive. So, what even counts as a microbe? https://t.co/nGKLUiIVA7

    2511002.9K viewsView on X
  • Sep 18, 20263.9x their median

    🥬 Food safety starts with understanding the microbes behind the foods we eat! "Food Microbiology: An Introduction 5e" explores the microorganisms that impact food safety & quality & more. ➡️Order or request an exam copy: https://t.co/Ql2UdySZbA #ASMPress #FoodSafetyMonth https://t.co/r51FJFa59W

    296002.8K viewsView on X
  • Aug 17, 20263.8x their median

    Microbiology Monday: Dental wastewater is a rich source of phages that infect oral bacteria, including those linked to bacteria with important health impacts. #JournalSpectrum: https://t.co/xhqMML4wWf https://t.co/DcT5zRTPSc

    313003.3K 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

#asmclinmicro#iaijournal#journalspectrum#jvirology#mbio

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 9 interactions against 91K followers, an engagement rate of 0.01%. Measured over 51 original posts, its engagement rate beats 18% 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 1.9K times each, and 0.47% of those impressions turn into an interaction. That is about 2.10% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 51 posts sampled, 78% carry an image or video and 98% link out. The account's strongest tracked post pulled 610 interactions, about 68x its own typical post. Recurring topics include #asmclinmicro, #iaijournal, #journalspectrum.

What is ASM's engagement rate on X?
ASM (@ASMicrobiology) has an engagement rate of 0.01%, based on the median interactions across 51 original posts from the last 30 days against 91,292 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, ASM sits above the 10th percentile of the 204,880 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 @ASMicrobiology have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,444 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 @ASMicrobiology post?
Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 1.7 posts per day across the measured window.

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