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Nephrology Journal Club

@NephJC · twittersphere · joined 17 Apr 2014

A twice monthly nephrology journal club that meets on Twitter. Hashtag #NephJC

39 291Followers
1 193Following
52 095Posts total
11.9KViews on collected posts

โพสต์ล่าสุด

One week to go until #SummerBookClub As Long as the Lemon Trees Grow by Zoulfa Katouh We will have a live chat! Tuesday 9/15/26 at 9pm EST only on Twitter #NephJC #NephTwitter 📚There's still time to read it and come discuss https://t.co/U3juFLBl6Z
GIF
1.4K views · 8 likes · 5 reposts · 0 replies Open on X →
#NephJC runs on community magic ✨ We choose to stay free and independent and give back to our community for 12yrs 🩵 If our blogs, podcasts, or visuals have helped you, your donation keeps us going - and might get you into the coolest #KidneyWk party https://t.co/9rw2tFZ5v3 2.8K views · 16 likes · 5 reposts · 0 replies Open on X →
@NephJC @DivyaveerSSNeph @ayushiexplores But you have to remember it also increases creatinine so the results may actually be promising 70 views · 0 likes · 0 reposts · 0 replies Open on X →
MERCURI-2 says dapagliflozin cuts AKI after cardiac surgery by nearly half. Promising, right? Break down how AKI was defined, and the "kidney protection" is mostly just... more urine and dapa is a mild osmotic diuretic🌊 #nephjc video made by @DivyaveerSSNeph @ayushiexplores htt
0:35
3.4K views · 43 likes · 11 reposts · 1 replies Open on X →
1/10 #NephJC #TenPostNephJC Validation of an AI model is difficult. 🤖 Enter the REFINe trial (Reasoning Enhancement With Feedback From a Generative AI in Nephrology), a RCT of large language model (LLM) -assisted diagnostic accuracy in nephrology. https://t.co/zojosVmIxG https://
1.9K views · 17 likes · 14 reposts · 1 replies Open on X →
🤖We'd like to think REFINe tested AI with clinicians, not against them, and accuracy jumped from 37% to 58%, but half of the correct AI nudges were ignored #NephJC #NephTwitter 🙌 Teamwork by @AncaSt13 @assad_sm @kiddo_kidney @danyrcal https://t.co/YLPLIbuSrC 2.4K views · 29 likes · 17 reposts · 0 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน2 188บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %5.57%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %1.30%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์2 1889242.37×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)5.57%3.62%1.54×
อัตราการมีส่วนร่วม1.30%1.52%0.85×

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

2.4K30 Aug
1.9K2 Sep
3.4K3 Sep
704 Sep
2.8K8 Sep
1.4K

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.89%30 Aug
1.65%2 Sep
1.64%3 Sep
0.00%4 Sep
0.75%8 Sep
0.96%

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

What the audience does

Likes63.5%113 in total
Reposts29.2%52 in total
Replies1.1%2 in total
Bookmarks6.2%11 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