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ASM engagement report

@ASMicrobiology - 91K followers on X

Measured over 40 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Bottom quarter for its size
Per follower
0.012%
of 91K followers
Per impression
0.445%
2.5K views on a typical post
Reach
2.71%
of its followers see a post
Typical post
11
interactions (median)
Saved
0.081%
2 bookmarks on a typical post
Posting rate
1.33/day
active 43% of days
Peak time
15:00 UTC
Tuesday

A typical post picks up 11 interactions against 91K followers, an engagement rate of 0.012%. Measured over 40 original posts, its engagement rate beats 20% of 3,899 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 2.5K times each, and 0.445% of those impressions turn into an interaction. That is about 2.71% 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 15:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 88% carry an image or video and 100% link out. The account's strongest tracked post pulled 592 interactions, about 54x its own typical post. Recurring topics include #asmclinmicro, #journalspectrum, #jvirology.

Measured over 40 original posts from a 30-day window, last computed on August 27, 2026. Recurring tags: #asmclinmicro, #journalspectrum, #jvirology.

Compared with accounts its own size

ASM's engagement rate beats 20% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 4 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 0.012%, ASM sits above the 10th percentile of the 37,856 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99155.6%
Engagement rate as a share of followers, across the 37,856 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 97,248 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 percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile155.6%

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 Tuesday 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 6%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%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 24, 202654x 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

    43199656151K viewsView on X
  • Aug 20, 20264.9x 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
  • Aug 25, 20264.2x 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, 20263.9x 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
  • Aug 17, 20263.1x 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
  • Aug 13, 20263.1x their median

    Many medications not prescribed to treat infections have potent antimicrobial activity. Using E. coli, researchers identified 5 nonantibiotics that repeatedly selected for resistance to multiple antibiotics through a shared mechanism of action. #mBio: https://t.co/zp1H6XzP64 https://t.co/Vtn6gIRy8T

    2311003.4K viewsView on X
  • Aug 12, 20262.8x their median

    High school and undergraduate students often use personal cell phones to document experimental data. This #JMBE study used a 3D-printed smartphone mount adapter for microscopes, which helped students visualize microscopic items live. https://t.co/OwBXZnB2bl https://t.co/mwmO4wny97

    247003.9K viewsView on X
  • Aug 21, 20262.5x their median

    Individual gut microbiota-produced metabolites are sufficient to worsen disease in a mouse model of multiple sclerosis (MS). Targeting microbial metabolites or modifying diet-microbiome interactions may help reduce disease activity in MS. #mSystems: https://t.co/FVtWAq6ehw https://t.co/o2LNLtsVjX

    224103.1K viewsView on X
  • Aug 17, 20262.2x their median

    Microbes are critical for building a more sustainable world. The American Academy of Microbiology is advancing the scientific understanding about microbiology & sustainability to promote microbe-based innovations. Learn how you can join these efforts: https://t.co/wDpdrFXb3H https://t.co/ZY1O4iv7DO

    184112.5K viewsView on X
  • Aug 13, 20262.2x their median

    Pandoomain, a Snakemake pipeline, automates the acquisition of genomes from NCBI, identifies proteins of interest using hidden Markov models (HMMs) and performs systematic domain annotation and gene neighborhood analysis. #mSystems: https://t.co/gRZlpWfcKl https://t.co/CIdL5Nqj4Q

    186003.2K 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#journalspectrum#jvirology#iaijournal#jbacteriology

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 11 interactions against 91K followers, an engagement rate of 0.012%. Measured over 40 original posts, its engagement rate beats 20% of 3,899 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 2.5K times each, and 0.445% of those impressions turn into an interaction. That is about 2.71% 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 15:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 88% carry an image or video and 100% link out. The account's strongest tracked post pulled 592 interactions, about 54x its own typical post. Recurring topics include #asmclinmicro, #journalspectrum, #jvirology.

What is ASM's engagement rate on X?
ASM (@ASMicrobiology) has an engagement rate of 0.012%, based on the median interactions across 40 original posts from the last 30 days against 91,290 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.012%, ASM sits above the 10th percentile of the 37,856 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 20% of the tracked X accounts closest to it in follower count (3,899 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 Tuesday is its busiest day, at roughly 1.33 posts per day across the measured window.

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