Aging Science News ✓
@AgingBiology · joined 23 Nov 2013
Latest news in the biology and genetics of aging, covering longevity science, rejuvenation technologies and life-extension research. Tweets by @jpsenescence
34 263Followers
1Following
7 901Posts total
73.7KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
Transmembrane Protein PTCHD4 Is a Novel Regulator of Cellular Senescence and Age-Related Pathologies
https://t.co/VAaBVQtFFi
604 views · 3 likes
· 0 reposts · 0 replies
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Therapy induced senescence promotes immunogenicity in acute myeloid Leukemia through reduced EZH2 activity
https://t.co/wDrI4KGjLl
899 views · 5 likes
· 2 reposts · 2 replies
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Selectively Advantageous Instability and Information Theory in Sex-specific Aging
https://t.co/Xxn0mBuvVW
921 views · 3 likes
· 0 reposts · 0 replies
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Longitudinal infection trajectories and biological aging acceleration in adults: a prospective cohort study
https://t.co/49VaMWx2Dn
1.2K views · 4 likes
· 0 reposts · 1 replies
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@AgingBiology T hucrelerinin reaktif oksijen turu yoksunluk, yani tumor icindeki antiROS ekseni; IGF-1/CRH duzenleyici hatlariyla immunometabolik olarak birlikte okunabilir mi?
30 views · 0 likes
· 0 reposts · 0 replies
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Tumor-derived antioxidants suppress immunity by depriving T cells of reactive oxygen species
https://t.co/3UOzPjOPeD
8.9K views · 21 likes
· 2 reposts · 1 replies
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@AgingBiology HAGR has quietly shaped how we study ageing for two decades. Its curated datasets have become foundational for linking genes, pathways, and lifespan across species. A genuinely underappreciated scientific infrastructure.
21 views · 1 likes
· 0 reposts · 0 replies
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Since its start, HAGR has been publicly available online for everyone to use, with all HAGR databases available for download.
HAGR is freely available at:
https://t.co/tPxHQ5pKGI
Huge thanks to the many curators and contributors to HAGR! https://t.co/yiljZUiIRd
932 views · 3 likes
· 0 reposts · 1 replies
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The fast-growing DrugAge database includes 1097 longevity drugs in model organisms.
Other databases include GenDR on genes associated with dietary restriction, CellAge with 866 genes associated with cellular senescence and the LongevityMap of genetic studies of human longevity.
845 views · 3 likes
· 2 reposts · 1 replies
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HAGR also provides various tools as well as gene expression signatures of ageing, dietary restriction, and replicative senescence based on meta-analyses.
Our databases are integrated, regularly updated, and manually curated by experts. https://t.co/DpOpIQcIAe
959 views · 2 likes
· 0 reposts · 1 replies
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AnAge (https://t.co/PE63TT1rSV) is a curated database of ageing, longevity, and life-history traits.
It contains data on 4645 species, mostly vertebrates. https://t.co/a8L7tvqzh8
394 views · 5 likes
· 0 reposts · 1 replies
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GenAge (https://t.co/aPHManNBSl) is the benchmark database focused on genes associated with the ageing process.
It features 307 genes linked to human ageing and 2205 genes associated with longevity and ageing in model organisms. https://t.co/XOEPCUnA5n
571 views · 4 likes
· 0 reposts · 1 replies
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New description of the Human Ageing Genomic Resources (HAGR)
Since its inception 20 years ago, HAGR has become the leading online platform in ageing research.
A brief thread on HAGR's databases 🧵
https://t.co/rmC7eHrpso
57.5K views · 163 likes
· 46 reposts · 13 replies
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เทียบกับบัญชีขนาดเดียวกัน
6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม การเข้าถึงปกติสำหรับขนาดนี้ แต่การตอบสนองอ่อนกว่าส่วนใหญ่.
ยอดดูมัธยฐาน910บัญชีนี้917ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %2.66%บัญชีนี้3.39%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.38%บัญชีนี้1.53%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 910 | 917 | 0.99× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 2.66% | 3.39% | 0.78× |
| อัตราการมีส่วนร่วม | 0.38% | 1.53% | 0.25× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
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
57.5K5 Jan
571
394
959
845
932
213 Feb
8.9K7 Sep
308 Sep
1.2K12 Sep
921
899
604
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.39%5 Jan
0.88%
1.52%
0.31%
0.71%
0.43%
4.76%3 Feb
0.27%7 Sep
0.00%8 Sep
0.43%12 Sep
0.33%
1.00%
0.50%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.
What the audience does
Likes58.2%217 in total
Reposts13.9%52 in total
Replies5.9%22 in total
Bookmarks22.0%82 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.
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