Buck Institute

@BuckInstitute · Novato, CA · joined 16 Nov 2010

Our mission is to end the threat of age-related disease for this and future generations. Looking for a job at Buck? Make sure to follow us at @BuckCareers too.

18 284Followers

1 244Following

5 404Posts total

3.6KViews on collected posts

Latest posts

Buck Institute@BuckInstitute23 Sep

Can we spot the signs of age-related decline years before they appear? That's one of the questions Buck researchers hope to answer through a new collaboration with @Oracle. Read more: https://t.co/2jOPQsr6C6 @ARPA_H 130 views · 1 likes · 0 reposts · 1 replies Open on X →

Buck Institute@BuckInstitute23 Sep

Stand With Buck Science. Your support helps ensure that vital research and discovery can continue, even as federal funding declines. Stand with our scientists. Stand with science. https://t.co/iVRzngWsJo https://t.co/cpuf7TimQg

0:28

181 views · 0 likes · 0 reposts · 0 replies Open on X →

Buck Institute@BuckInstitute15 Sep

Science can’t wait. NIH funding to the Buck has declined 42% since FY2025, a loss of $11M for critical basic science research. #StandWithBuckScience is our call to help keep discoveries moving forward. Every gift matters. Donate today: https://t.co/emcDADeLJG #SupportScience h

661 views · 2 likes · 2 reposts · 2 replies Open on X →

Buck Institute@BuckInstitute11 Sep

@BuckInstitute @BuckCareers Exciting job openings at Buck Institute. I study GRK‑A2A desensitization, which controls adenosine signalling linked to cellular stress and biological aging. I hope to discuss this aging mechanism with your research team 1 views · 0 likes · 0 reposts · 0 replies Open on X →

Buck Institute@BuckInstitute6 Sep

@BuckInstitute @BuckCareers https://t.co/Ad7NTseNb1 0 views · 0 likes · 0 reposts · 0 replies Open on X →

Buck Institute@BuckInstitute6 Sep

@BuckInstitute https://t.co/Ad7NTseNb1 0 views · 0 likes · 0 reposts · 0 replies Open on X →

Buck Institute@BuckInstitute5 Sep

PADA‑V2 hypothesis. Light‑melatonin‑adenosine‑A₂A desensitization model for sleep‑aging regulation. Challenges adenosine‑centric sleep theory; includes N‑of‑1 dataset & falsifiable V3 experiment plan. Unvalidated hypothesis, not clinical advice. https://t.co/lRODIZ9iQ2 184 views · 1 likes · 0 reposts · 0 replies Open on X →

Buck Institute@BuckInstitute3 Sep

@BuckInstitute Video link, video link.....pls? 41 views · 2 likes · 0 reposts · 0 replies Open on X →

Buck Institute@BuckInstitute2 Sep

@BuckInstitute Do you have a link to this video? 30 views · 2 likes · 0 reposts · 0 replies Open on X →

Buck Institute@BuckInstitute2 Sep

Another full house at Buck today! Our guest today is Tony Wyss-Coray, PhD, Professor at Stanford University. He is discovering the connection between blood, inflammation, and the aging brain. He is delving into the future of brain health and longevity. https://t.co/TUqZzAbSAR

1.4K views · 24 likes · 4 reposts · 4 replies Open on X →

Buck Institute@BuckInstitute1 Sep

Want to work at Buck? Check out our job openings on @BuckCareers https://t.co/78Qx58qvBP

982 views · 7 likes · 2 reposts · 2 replies Open on X →

Against accounts of the same size

9 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers of the same size.

Median views181this account924median for 10K–100K

Reach, %0.99%this account3.62%median for 10K–100K

Engagement, %1.22%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	181	924	0.20×
Reach (views ÷ followers)	0.99%	3.62%	0.27×
Engagement rate	1.22%	1.52%	0.80×

Others in this range → Compare with another account → How these benchmarks are built →

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

9821 Sep

1.4K2 Sep

413 Sep

1845 Sep

111 Sep

66115 Sep

18123 Sep

130

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.22%1 Sep

2.34%2 Sep

6.67%

4.88%3 Sep

1.09%5 Sep

0.00%11 Sep

1.06%15 Sep

0.00%23 Sep

1.54%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes62.9%39 in total

Reposts12.9%8 in total

Replies14.5%9 in total

Quotes4.8%3 in total

Bookmarks4.8%3 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.