MIT OpenCourseWare ✓

@MITOCW · Cambridge, MA · joined 26 Jan 2009

@MITOCW provides free learning materials from @MIT's classes. No sign-up or registration. Part of @mitopenlearning. Verification: https://t.co/QaHinns7Yc

212 766Followers

831Following

11 792Posts total

23.6KViews on collected posts

Últimas publicaciones

MIT OpenCourseWare ✓@MITOCW2 Sep

Una presentación por Brett Paci (Assistant Director | Media Engagement and Strategy de @mitopenlearning) en la conferencia Open Saturday Reloaded por @linuxdominicana. Se presenta la historia, las lecciones aprendidas, y la estrategia actual de MIT OpenCourseWare en sus https://

3.1K views · 5 likes · 0 reposts · 0 replies Open on X →

MIT OpenCourseWare ✓@MITOCW2 Sep

Science is curiosity on a mission @MIT! 🧠 https://t.co/vsPqQb0gyK

0:05

5.5K views · 38 likes · 6 reposts · 4 replies Open on X →

MIT OpenCourseWare ✓@MITOCW31 Aug

Watch as Brett Paci, Assistant Director of Media Engagement at @mitopenlearning discusses the history of MIT OpenCourseWare. The webinar was held during @linuxdominicana's Open Saturday Reloaded conference. He discusses the history and current strategy of OCW's efforts to raise

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

MIT OpenCourseWare ✓@MITOCW22 Aug

Sal Khan, of Khan Academy fame, mused: "There is a direct through line from what MIT did with OpenCourseWare to the existence of Khan Academy." Watch the full video to hear more of Sal's reflections on MIT OpenCourseWare. https://t.co/KKQn2knfbD https://t.co/BPwQb2f9FR

6.5K views · 64 likes · 12 reposts · 0 replies Open on X →

MIT OpenCourseWare ✓@MITOCW20 Aug

🎉Learn from the legends of digital signal processing—Alan Oppenheim and Ronald Schafer! The 3rd edition of their textbook Discrete-Time Signal Processing, AKA the "DSP Bible", is now available on MIT OpenCourseWare—completely free and open! Whether you're building audio https

5.5K views · 57 likes · 18 reposts · 0 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega a más gente que cuentas de su tamaño.

Visualizaciones medianas5 469esta cuenta5 983mediana de 100K–1M

Alcance, %2.57%esta cuenta1.49%mediana de 100K–1M

Interacción, %0.88%esta cuenta0.93%mediana de 100K–1M

Métrica	Esta cuenta	Mediana de 100K–1M	Proporción
Visualizaciones medianas por publicación	5 469	5 983	0.91×
Alcance (visualizaciones ÷ seguidores)	2.57%	1.49%	1.73×
Tasa de interacción	0.88%	0.93%	0.94×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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

5.5K20 Aug

6.5K22 Aug

3K31 Aug

5.5K2 Sep

3.1K

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.37%20 Aug

1.17%22 Aug

0.10%31 Aug

0.88%2 Sep

0.16%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes54.6%167 in total

Reposts11.8%36 in total

Replies1.3%4 in total

Bookmarks32.4%99 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.