From Scarred Lungs to Diabetes: How COVID May Stick With People Long-Term | SciShow News
Published July 3, 2020
At a glance
Views
468,462
Likes
17,692
Comments
1,464
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Even though we are still in the early stages of the COVID-19 pandemic, scientists are trying to figure out the ways in which this disease may stick with people in the long term - from lasting lung damage to potentially triggering diseases like diabetes and Alzheimers. Hosted by: Hank Green COVID-19 playlist: https://…
- Published
- July 3, 2020
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How From Scarred Lungs to Diabetes: How COVID May Stick With People Long-Term | SciShow News is doing
It has 468K views in total. It ranks #7,194,371 among tracked YouTube videos by views.
Key facts about From Scarred Lungs to Diabetes: How COVID May Stick With People Long-Term | SciShow News
- Total views
- 468K
- Total likes
- 17.6K
- Total comments
- 1.46K
- Published
- July 3, 2020
- Global rank by views
- #7,194,371
Frequently asked questions
How many views does From Scarred Lungs to Diabetes: How COVID May Stick With People Long-Term | SciShow News have?
From Scarred Lungs to Diabetes: How COVID May Stick With People Long-Term | SciShow News has 468,462 views, 17,692 likes and 1,464 comments, ranking #7,194,371 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.