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Scripps Research engagement report

@scrippsresearch - 283K followers on X

Measured over 28 original posts from a 30-day window, last computed on September 6, 2026.

Engagement

Bottom quarter for its size
Per follower
0.008%
of 283K followers
Per impression
0.601%
3.9K views on a typical post
Reach
1.38%
of its followers see a post
Typical post
24
interactions (median)
Saved
0.051%
2 bookmarks on a typical post
Posting rate
1.27/day
active 63% of days
Peak time
00:00 UTC
Wednesday

A typical post picks up 24 interactions against 283K followers, an engagement rate of 0.008%. Measured over 28 original posts, its engagement rate beats 23% of 6,874 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 3.9K times each, and 0.601% of those impressions turn into an interaction. That is about 1.38% 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, with activity on roughly 63% of days. Most posts go out around 00:00 UTC, and Wednesday is the busiest day of the week. Of the 28 posts sampled, 79% carry an image or video, 11% are part of a thread and 89% link out. The account's strongest tracked post pulled 384 interactions, about 16x its own typical post.

Measured over 28 original posts from a 30-day window, last computed on September 6, 2026.

Compared with accounts its own size

Scripps Research's engagement rate beats 23% of the tracked X accounts closest to it in follower count (6,874 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 34% 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%, Scripps Research sits above the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video79% of posts+111%+108% to +115%34K
Outbound link89% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 79% 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.
  • 89% 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 348 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

  • Aug 11, 202616x their median

    Congratulations to Scripps Research EVP @EricTopol for surpassing the momentous milestone of 400,000 citations and an h-index score of 259 on Google Scholar. Topol regularly ranks among the most highly cited researchers in the world, representing broad and significant influence in a number of fields including cardiology, genomics, artificial intelligence, digital health and individualizes medicine. More: https://t.co/JqUmd5DxV0

    3293116841K viewsView on X
  • Mar 5, 202612x their median

    👋DRUG HUNTERS👋 N₂ extrusion from alkyl hydrazines delivers complex, medicinally relevant alkyl S(VI)-chemical space with exceptional chemoselectivity and operational simplicity. Appearing today in @ChemRxiv: https://t.co/Y4JeCBWkGw Alkyl hydrazines (or their sulfonyl derivatives) serve as practical radical precursors readily prepared from ketones, alcohols, amines, and complex molecules. Simple thermal activation triggers clean N₂ extrusion to generate alkyl radicals that are captured by inexpensive SO₂ sources, delivering versatile sulfinates convertible in situ to sulfonyl fluorides or sulfinamides. 70+ examples, protecting-group-free late-stage functionalization of natural products and drugs (ticagrelor, erythromycin, spiramycin), 100-g scale with trivial work-up, and stereoretentive variants round out a unified platform that directly addresses the growing need for complex alkyl S(VI) motifs in medicinal chemistry. Detailed mechanistic studies, including temperature scanning calorimetry, radical clocks, and DFT calculations help to demystify the process.

    258321740K viewsView on X
  • Jul 24, 202611x their median

    📣 Front Row lecture series resumes August 19! After a brief summer break, the second half of Front Row’s Season 9 picks back up. Each free lecture is offered virtually or in person at the Scripps Research Auditorium at 4:00 p.m. PT. For those joining on campus, be sure to check out #ScienceinAction, an interactive showcase hosted by the speaker's lab. The final four lectures of 2026 are: 💊 Wednesday, August 19, 2026—Ryan Shenvi (@Shenvi_Lab): Predicting the chemistry of tomorrow for the medicines of the future 🧠 Wednesday, September 9, 2026—Giordano Lippi (@LippiLab): Micro molecules, big impact: New approaches to neurodevelopmental disorders 🔬 Wednesday, October 14, 2026—Christian Diercks (@DiercksLab): Accelerating evolution to create new medicines 💉 Wednesday, November 18, 2026—Darrell Irvine: Controlling the where, when and how long of vaccine delivery Register and learn more about season 9: https://t.co/L7cVC9X05x

    595678714.1K viewsView on X
  • Jul 29, 202611x their median

    During the first weeks of pregnancy, the developing placenta in a mother’s womb undergoes a dramatic change. Individual cells merge, forming a continuous barrier that will spend the next nine months ferrying oxygen and nutrients to the growing fetus while keeping the mother's immune system at bay. When this structure fails to form properly, pregnancies are at higher risk of complications, including preeclampsia and restricted fetal growth. Now, scientists at Scripps Research have identified a key player in the placenta’s transformation—a molecule called galectin-3 that binds to sugar molecules on specific cell surface proteins, likely holding placental cells tightly together to fuse. #ScrippsResearch #Placenta #Pregnancy #MaternalHealth #DNA

    815763559.8K viewsView on X
  • Sep 3, 20267.4x their median

    Dyna-1, developed by @DorotheeKern and colleagues, predicts micro-to-millisecond protein dynamics in roughly 30 seconds. Published in @Nature, the model was trained on missing NMR assignments to identify protein regions likely to move. More: https://t.co/Ww4tRdcczE

    14333019.4K viewsView on X
  • Aug 12, 20266.0x their median

    Two cellular enzymes—SerRS and SIRT2—become locked together during times of stress, simultaneously shutting down both of their normal jobs, according to a Scripps Research study in @NatureComms. The findings reveal how cells throttle back protein production when they’re short on energy. More: https://t.co/c3YNpmbPP9

    122192211K viewsView on X
  • Aug 31, 20265.6x their median

    Chemists in @Shenvi_Lab have developed an iron-catalyzed method that builds cis cyclopropanols one carbon at a time. Reported in @ScienceMagazine, it is operationally simpler, uses accessible starting materials and tolerates common functional groups. More: https://t.co/FXBH3brh7a

    12671111K viewsView on X
  • Jul 21, 20264.4x their median

    Congratulations to @BaranLabReads, recipient of the 2026 Mitsui Chemicals Catalysis Science Award for pioneering catalytic radical cross-coupling methods that enable efficient construction of complex molecules using abundant metals and readily available starting materials. More: https://t.co/nnmuJ21c5g

    9411019.7K viewsView on X
  • Aug 19, 20264.3x their median

    Nature produces molecules with extraordinary biological effects, but it doesn’t organize them for drug development. In Ryan Shenvi’s lab, chemists use synthesis and computation to rebuild and strategically redesign complex natural molecules to make them easier to study. https://t.co/EvtrPtPCVj

    8641218.3K viewsView on X
  • Aug 21, 20264.1x their median

    We got to see proteins “dancing” in Professor Dorothee Kern’s lab. 🧬💃 Using techniques like fast kinetics and NMR, her team studies how proteins move at the atomic level, revealing how these dynamics control function and inform the design of more selective drugs and enzymes. https://t.co/qavElbS8yW

    8211518.1K 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.

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Reading these numbers

A typical post picks up 24 interactions against 283K followers, an engagement rate of 0.008%. Measured over 28 original posts, its engagement rate beats 23% of 6,874 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 3.9K times each, and 0.601% of those impressions turn into an interaction. That is about 1.38% 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, with activity on roughly 63% of days. Most posts go out around 00:00 UTC, and Wednesday is the busiest day of the week. Of the 28 posts sampled, 79% carry an image or video, 11% are part of a thread and 89% link out. The account's strongest tracked post pulled 384 interactions, about 16x its own typical post.

What is Scripps Research's engagement rate on X?
Scripps Research (@scrippsresearch) has an engagement rate of 0.008%, based on the median interactions across 28 original posts from the last 30 days against 283,261 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Scripps Research sits above the 10th percentile of the 66,258 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 @scrippsresearch have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (6,874 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 @scrippsresearch post?
Most posts go out around 00:00 UTC, and Wednesday is its busiest day, at roughly 1.27 posts per day across the measured window.

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