tweetindex
FR

DeSci Labs

@DeSciLabs · Metascience coordination space · joined 04 Aug 2021

We build infrastructure for open and transparent scientific publishing of papers, data, and code. Powered by Web3 & AI. Try @SciWeave for free: https://t.co/3HVzZAnRS5

20 050Followers
14 427Following
1 697Posts total
4.5KViews on collected posts

Derniers posts

@DeSciLabs lets try it 2 views · 0 likes · 0 reposts · 0 replies Open on X →
@DeSciLabs key is citing patterns and author expertise 6 views · 0 likes · 0 reposts · 0 replies Open on X →
@DeSciLabs Great research starts with key papers 8 views · 0 likes · 0 reposts · 0 replies Open on X →
A literature search can return hundreds of papers. But only a handful usually shape how a field actually thinks about a problem. How do researchers identify those influential studies? This blog explains the signals to look for: https://t.co/dqFdRFZyZG 702 views · 12 likes · 2 reposts · 9 replies Open on X →
7/ Please share and let us know what you think! 247 views · 2 likes · 0 reposts · 0 replies Open on X →
6/ Blog post: https://t.co/5i0ByY0vIK 284 views · 2 likes · 0 reposts · 1 replies Open on X →
5/ Install in 30 seconds: 1. Grab a free API key → https://t.co/1u1zfkpl2G 2. Paste it into your Claude / ChatGPT / Cursor / Windsurf config 3. Ask any research question Install instructions: https://t.co/dXWKjScyZG 84 views · 1 likes · 0 reposts · 1 replies Open on X →
4/ Three tools, one promise that every DOI is real: ask_research_question — AI answer + inline citations find_references — ~1s paper lookup with abstract snippets get_research_thread — resume any prior research conversation 38 views · 1 likes · 0 reposts · 1 replies Open on X →
3/ Some ideas for what you can do with it: 💡Draft a grant background with real citations 💡Prior-art check before you design an experiment 💡Create an annotated syllabus for a course you're teaching 💡Build automated research workflows that are grounded in the scientific 84 views · 2 likes · 0 reposts · 6 replies Open on X →
2/ It works in Claude, ChatGPT, Codex, Cursor, and Windsurf. Ask a research question → get an answer grounded in real papers, with real DOIs you can open and verify. https://t.co/PgUPCH9upC
132 views · 1 likes · 0 reposts · 1 replies Open on X →
1/ AI invents scientific citations. That stops today. We've launched the SciWeave MCP connection so you can speed up your research and teaching tasks 100X Free to start. Install in 30 seconds. 🔗 https://t.co/dXWKjScyZG 1.5K views · 10 likes · 2 reposts · 7 replies Open on X →
Causality is where much business research quietly becomes fragile. Strong language often outruns what observational data and identification strategies can actually support. The issue is rarely bad methods. It is how confidently results are interpreted. https://t.co/KOGiwuaNgN 496 views · 4 likes · 0 reposts · 0 replies Open on X →
Economic and finance claims often look more definitive than the underlying evidence really is. Statistical significance and robustness checks can create confidence that outpaces identification, assumptions, or data limits. How to read these claims with discipline: 418 views · 2 likes · 0 reposts · 1 replies Open on X →
SciWeave is now live on Android 📱 Our AI research assistant helps you find, analyze, and understand academic studies faster than ever. Download: https://t.co/aBe7rEJZX3 404 views · 4 likes · 2 reposts · 1 replies Open on X →

Face aux comptes de taille comparable

1 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. touche moins de monde que les comptes de taille comparable.

Vues médianes2ce compte924médiane pour 10K–100K
Portée, %0.01%ce compte3.62%médiane pour 10K–100K
Engagement, %0.00%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post29240.00×
Portée (vues ÷ abonnés)0.01%3.62%0.00×
Taux d'engagement0.00%1.52%0.00×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

40431 Mar
418
49613 Apr
1.5K22 Apr
132
84
38
84
284
247
7025 May
818 May
618 Jun
227 Aug

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.73%31 Mar
0.72%
0.81%13 Apr
1.23%22 Apr
1.52%
9.52%
5.26%
2.38%
1.06%
0.81%
3.28%5 May
0.00%18 May
0.00%18 Jun
0.00%27 Aug

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

What the audience does

Likes51.2%41 in total
Reposts7.5%6 in total
Replies35.0%28 in total
Bookmarks6.2%5 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.

Comptes similaires