The Clinical Problem Solvers

@CPSolvers · joined 01 Nov 2018

CPSolvers create a culture of compassion and community to disseminate and democratize the stories and science of diagnostic reasoning. https://t.co/hH4a57KLyC

52 998Followers

334Following

6 440Posts total

33.2KViews on collected posts

Postingan terbaru

The Clinical Problem Solvers@CPSolvers20 Sep

#Medtwitter make a note of the VMR schedule for the upcoming week. Pro-tip: join with your 🎥 on, 😊, share your thoughts 💭 actively in the chat #FOAMED #community #repscount #diagnosticskill https://t.co/UECuwEVfwr

1.7K views · 4 likes · 2 reposts · 3 replies Open on X →

The Clinical Problem Solvers@CPSolvers14 Sep

@CPSolvers Exactly—diagnostic skill grows through deliberate practice, not passive review. For ITE prep: turn each case into a one-line problem representation + the clue that changed the differential, then revisit misses. Small sessions beat cramming. 1 views · 0 likes · 0 reposts · 0 replies Open on X →

The Clinical Problem Solvers@CPSolvers14 Sep

@CPSolvers Case-based practice is a great way to expose where intuition outruns evidence. I wonder how you balance pattern recognition with deliberately slowing down on atypical cases? I sometimes use Sci-Quest for the literature review side: https://t.co/AMUYFvZ8PU 10 views · 0 likes · 0 reposts · 0 replies Open on X →

The Clinical Problem Solvers@CPSolvers13 Sep

#MedTwitter Making a clinical diagnosis is a skill. We need to practice it daily to sharpen it. The fun part is you don’t have to do it alone. Note our schedule, join us with cameras 🎥 on,& practice in 💬 while discussants discuss the case #MedEd #FOAMED https://t.co/txIuikfpMn

2K views · 8 likes · 3 reposts · 2 replies Open on X →

The Clinical Problem Solvers@CPSolvers12 Sep

#MedTwitter 🎙️ New Clinical Unknown Series episode! Alec challenges the team with a fascinating case of lung–back–brain syndrome 🫁🧠 Unexpected twists, a challenging diagnostic journey, and a final diagnosis no one saw coming. 👀 🎧 Tune in! https://t.co/GupkC00tfM https://t.co/B

2K views · 12 likes · 1 reposts · 0 replies Open on X →

The Clinical Problem Solvers@CPSolvers11 Sep

Join our campaign #EndNeurophobia ! With the one and only Dr. Helen Shi Listen to Gillian Present a case to Aye and Vale, of a 56 year old found wandering naked in the grocery store 🤔💭💭 Listen here 🎧: https://t.co/dwtRGxGkR4 https://t.co/FxDtYW8uN1

1.8K views · 6 likes · 2 reposts · 0 replies Open on X →

The Clinical Problem Solvers@CPSolvers11 Sep

#Medtwitter 🎙️The Best Palindrome, R♥️R’s new podcast !! Catch 2 brand new cases in the RLR series—? Liver and ? Brain Listen here 🎧: Link: https://t.co/7hitYQTRDF Sponsor This episode is sponsored by Amazon Pharmacy. Learn more at https://t.co/LvwUNiJqG9 https://t.co/qFZED5d

1.9K views · 11 likes · 3 reposts · 0 replies Open on X →

The Clinical Problem Solvers@CPSolvers4 Feb 2025

@rav7ks @rabihmgeha @drtansue @OOutani @anugrewal19 @bettina @JasBajwa18 @minheredia @e_chiu17 976 views · 2 likes · 0 reposts · 0 replies Open on X →

The Clinical Problem Solvers@CPSolvers4 Feb 2025

#MedTwitter - Interested in presenting a case with CPSolvers? Look no further! Just follow the simple steps below⬇️ Click on the link to begin! https://t.co/4M5M4ReJjC https://t.co/LZHon9HQ8O

22.9K views · 24 likes · 19 reposts · 1 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. jangkauan biasa untuk ukurannya, reaksi lebih lemah dari kebanyakan.

Median tayangan1 775akun ini995median untuk 10K–100K

Jangkauan, %3.35%akun ini3.85%median untuk 10K–100K

Interaksi, %0.52%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	1 775	995	1.78×
Jangkauan (tayangan ÷ pengikut)	3.35%	3.85%	0.87×
Tingkat interaksi	0.52%	1.52%	0.34×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

22.9K4 Feb

976

1.9K11 Sep

1.8K

2K12 Sep

2K13 Sep

1014 Sep

1.7K20 Sep

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

0.21%4 Feb

0.20%

0.75%11 Sep

0.45%

0.65%12 Sep

0.66%13 Sep

0.00%14 Sep

0.00%

0.52%20 Sep

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

What the audience does

Likes53.2%67 in total

Reposts23.8%30 in total

Replies4.8%6 in total

Quotes4.0%5 in total

Bookmarks14.3%18 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.