Scripps Research ✓

@scrippsresearch · La Jolla, CA · joined 05 Sep 2012

Scripps Research is one of the world's largest, private, non-profit biomedical research organizations. We are Science Changing Life.

283 248Followers

559Following

6 882Posts total

22.7KViews on collected posts

Ultimi post

Scripps Research ✓@scrippsresearch12 Sep

In @PNASNews, Prof. Jeffery Kelly and colleagues at Scripps Research and @UofIllinois Urbana-Champaign reveal a previously unknown way that the protein transthyretin (TTR) can unfold and break down. The alternative pathway is accessible to some TTR variants, particularly those 3.2K views · 21 likes · 3 reposts · 0 replies Open on X →

Scripps Research ✓@scrippsresearch10 Sep

@scrippsresearch @LippiLab Through logical reasoning, we may draw the following conclusion: genuine treatment does not consist in precisely targeting disease‑related microRNA–mRNA interactions, but in discovering and eradicating the root cause of the abnormalities in these diseas 38 views · 0 likes · 0 reposts · 0 replies Open on X →

Scripps Research ✓@scrippsresearch9 Sep

Meet Assoc. Prof. Giordano Lippi (@LippiLab), who leads a team at Scripps Research studying how microRNAs regulate gene expression during neuronal development and developing tools to precisely target disease-relevant microRNA–mRNA interactions. https://t.co/2khJ70kmcF

6.7K views · 66 likes · 7 reposts · 1 replies Open on X →

Scripps Research ✓@scrippsresearch8 Sep

How does addiction change the brain? 🧠 Addiction reshapes brain circuits that control reward, stress and decision-making. Our scientists study these changes to translate discoveries into new ways to prevent substance use disorders, reduce cravings and support recovery. 🔗 3.9K views · 14 likes · 5 reposts · 2 replies Open on X →

Scripps Research ✓@scrippsresearch7 Sep

It was a full house at our last Front Row! 👏 Scripps Research professor Ryan Shenvi shared how modern computation can help scientists narrow choices, reduce trial and error and find more efficient ways to make molecules. Watch the full talk and read the key takeaways: https://t

3.9K views · 23 likes · 2 reposts · 0 replies Open on X →

Scripps Research ✓@scrippsresearch6 Sep

📣 Hey San Diego families! Discovery Day is back, and this year, we’re bringing the fun to the Scripps Research campus! Join us in La Jolla for a FREE, family-friendly day of hands-on science, exciting demonstrations and opportunities to meet our scientists and graduate https://t

3.2K views · 14 likes · 1 reposts · 0 replies Open on X →

Scripps Research ✓@scrippsresearch4 Jul

https://t.co/G2WhZ7Gfk7 1.7K views · 2 likes · 0 reposts · 0 replies Open on X →

Rispetto ad account della stessa dimensione

7 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. sotto i pari sia per copertura sia per interazione.

Visualizzazioni mediane3 227questo account6 342mediana per 100K–1M

Copertura, %1.14%questo account1.82%mediana per 100K–1M

Interazione, %0.54%questo account1.13%mediana per 100K–1M

Metrica	Questo account	Mediana per 100K–1M	Rapporto
Visualizzazioni mediane per post	3 227	6 342	0.51×
Copertura (visualizzazioni ÷ follower)	1.14%	1.82%	0.63×
Tasso di interazione	0.54%	1.13%	0.47×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.7K4 Jul

3.2K6 Sep

3.9K7 Sep

3.9K8 Sep

6.7K9 Sep

3810 Sep

3.2K12 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.12%4 Jul

0.46%6 Sep

0.63%7 Sep

0.54%8 Sep

1.10%9 Sep

0.00%10 Sep

0.76%12 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.13%.

What the audience does

Likes79.1%140 in total

Reposts10.2%18 in total

Replies1.7%3 in total

Bookmarks9.0%16 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.