David M. Sabatini

@DMSabatini · Boston & Prague · joined 03 Dec 2012

Studying rapamycin and mTOR and metabolism for a long time.

17 924Followers

616Following

2 107Posts total

91.7KViews on collected posts

Neueste Beiträge

David M. Sabatini@DMSabatini12 Sep

https://t.co/uibBL2xJKE

3.3K views · 42 likes · 0 reposts · 0 replies Open on X →

David M. Sabatini@DMSabatini10 Sep

@DMSabatini 😲"TM184C can be traced back to archaea and bacteria through direct homology (Extended Data Figs. 1f,g and 5d). To the best of our knowledge, GPCRs cannot be traced to archaea or bacteria by sequence alone, underscoring the uniqueness of TM184C and suggesting a potenti 3.7K views · 4 likes · 0 reposts · 0 replies Open on X →

David M. Sabatini@DMSabatini10 Sep

@DMSabatini https://t.co/hGnmnsvoj6

GIF

1.9K views · 0 likes · 0 reposts · 0 replies Open on X →

David M. Sabatini@DMSabatini9 Sep

Very nice paper https://t.co/iJBoX3hUwa 30.9K views · 84 likes · 7 reposts · 2 replies Open on X →

David M. Sabatini@DMSabatini8 Sep

A friend pointed out this new RPMI cell culture media from Sigma that lacks leucine, arginine, and lysine (-LRK). This is exactly the media we would make in house to study amino acid sensing by mTORC1 so should be useful to many: https://t.co/0OadrTG9h7 14.2K views · 104 likes · 12 reposts · 0 replies Open on X →

David M. Sabatini@DMSabatini8 Sep

Few scientists know mitochondria better than Jared. Worth listening to. 24K views · 145 likes · 17 reposts · 5 replies Open on X →

David M. Sabatini@DMSabatini30 Jul

Excited to see @AniaPuszynska's work on lysosomal aging and a new aging clock out in print. Congratulations to Ania and everyone involved! Atlas of lysosomal aging reveals a metabolite signature shared with lysosomal storage disorders | Science https://t.co/BikyHNIHPU 13.9K views · 148 likes · 25 reposts · 11 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe13 859dieses Konto924Median für 10K–100K

Reichweite, %77.32%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.70%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	13 859	924	15.0×
Reichweite (Aufrufe ÷ Follower)	77.32%	3.62%	21.4×
Interaktionsrate	0.70%	1.52%	0.46×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

13.9K30 Jul

24K8 Sep

14.2K

30.9K9 Sep

1.9K10 Sep

3.7K

3.3K12 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

1.33%30 Jul

0.70%8 Sep

0.82%

0.30%9 Sep

0.00%10 Sep

0.11%

1.27%12 Sep

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

What the audience does

Likes64.4%527 in total

Reposts7.5%61 in total

Replies2.2%18 in total

Bookmarks25.9%212 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.