Text & Content Analysis

Context: entity (calorie)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
calorie
Window
Last 30 days
Articles
1
From
2026-02-24 17:26:43+00
To
2026-02-24 17:26:43+00
Range
2026-02-08 18:36:26.796423+00 β†’ 2026-03-10 18:36:26.796423+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
aghayev t PERSON 1 πŸ“Š πŸ” 🧲
american federation for aging research ORG 1 πŸ“Š πŸ” 🧲
bieri g PERSON 1 πŸ“Š πŸ” 🧲
blood PRODUCT 1 πŸ“Š πŸ” 🧲
brandon levy related PERSON 1 πŸ“Š πŸ” 🧲
calorie PERSON 1 πŸ“Š πŸ” 🧲
changhui deng PERSON 1 πŸ“Š πŸ” 🧲
deng c PERSON 1 πŸ“Š πŸ” 🧲
drs PERSON 1 πŸ“Š πŸ” 🧲
first ORDINAL 1 πŸ“Š πŸ” 🧲
hao li PERSON 1 πŸ“Š πŸ” 🧲
li PERSON 1 πŸ“Š πŸ” 🧲
li h proc natl acad PERSON 1 πŸ“Š πŸ” 🧲
li lab PERSON 1 πŸ“Š πŸ” 🧲
lin j PERSON 1 πŸ“Š πŸ” 🧲
mobaraki m PERSON 1 πŸ“Š πŸ” 🧲
molecules PERSON 1 πŸ“Š πŸ” 🧲
national institute on aging ORG 1 πŸ“Š πŸ” 🧲
nia ORG 1 πŸ“Š πŸ” 🧲
nih ORG 1 πŸ“Š πŸ” 🧲
pmc12799168 CARDINAL 1 πŸ“Š πŸ” 🧲
pmcid ORG 1 πŸ“Š πŸ” 🧲
proceedings of the national academy of sciences ORG 1 πŸ“Š πŸ” 🧲
san francisco GPE 1 πŸ“Š πŸ” 🧲
saul a villeda PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
nih.gov 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.8600 πŸ“Š 🧲
Government 0.1000 πŸ“Š 🧲
Friends and Family 0.0300 πŸ“Š 🧲
Food and Beverage 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-02-24 17:26:43+00 Health nih.gov Manipulating gene activity to reverse aging Analyze National Institutes of Health (NIH) 😐 neutral 0.0793