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IdoAmitLab

@IdoAmitLab · ישראל · joined 05 Nov 2017

Single Cell Gescheft @WeizmannScience

17 425Followers
490Following
6 290Posts total
52.9KViews on collected posts

โพสต์ล่าสุด

Congratulations, Daniel! This is truly amazing and so well deserved! 🎉 Students and postdocs looking to join a great PI and do exciting, creative, and fun science: this is your opportunity! 🚀 4.5K views · 26 likes · 0 reposts · 2 replies Open on X →
@IdoAmitLab @ERC_Research @PascaleZwicky @D_Birschenkaum @Katrinardottir Such great news! Congratulations Bjort, Daniel and Pascale : 🥳 244 views · 7 likes · 0 reposts · 0 replies Open on X →
@IdoAmitLab @ERC_Research @PascaleZwicky @D_Birschenkaum @Katrinardottir Uh this is way more than impressive 👏👏👏 congrats to the one and only mentor and the three mentees ;) 345 views · 7 likes · 0 reposts · 1 replies Open on X →
We have been awarded an ERC Starting Grant! What for? Immune cells change their state fast — after entering a tumor they lose their anti-cancer function within hours--> https://t.co/Lnk9Mx2aTK <--The ERC project “VideoTranscriptomics” asks what happens in those first hours. 🧵 9K views · 67 likes · 4 reposts · 9 replies Open on X →
There are moments that make being a PI incredibly special. This is one of them. One former student winning an @ERC_Research grant is incredible. Three in the same cycle is beyond words. Congratulations @PascaleZwicky, @D_Birschenkaum & @Katrinardottir! Godspeed! 🚀 https://t.co
20.7K views · 127 likes · 6 reposts · 13 replies Open on X →
Cant wait!! Looking forward to see you all there! https://t.co/4yx0YWnR3p
1.2K views · 13 likes · 0 reposts · 0 replies Open on X →
Does scale limit what we can discover? In our new @NatureGenet study, led by @MorZada3 & @Anna_Kurilovich, we built a 427-sample single-cell atlas of multiple myeloma across 341 individuals, linked to genetics and detailed clinical data 🧵 (1/15) 🔗 https://t.co/6XusMDMDN8 https://
9.8K views · 111 likes · 20 reposts · 10 replies Open on X →
Genomic data generation is exploding. Translation into new therapies is not. Our new @natBME Perspective proposes data-centric feedback loops combining ML, single-cell genomics & in vivo perturbations to accelerate next-gen immunotherapy @Rotem_Shalita https://t.co/14U1rK3jl6 htt
7.2K views · 39 likes · 7 reposts · 2 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

8 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน5 844บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %33.54%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %1.00%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์5 8449246.32×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)33.54%3.62%9.26×
อัตราการมีส่วนร่วม1.00%1.52%0.66×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

7.2K28 Aug
9.8K1 Sep
1.2K2 Sep
20.7K3 Sep
9K
345
244
4.5K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.72%28 Aug
1.46%1 Sep
1.11%2 Sep
0.73%3 Sep
0.90%
2.32%
2.87%
0.63%

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

What the audience does

Likes74.1%397 in total
Reposts6.9%37 in total
Replies6.9%37 in total
Quotes2.1%11 in total
Bookmarks10.1%54 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.

บัญชีที่คล้ายกัน