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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

Postingan terbaru

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 Open on X →
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 Open on X →
Selectively Advantageous Instability and Information Theory in Sex-specific Aging https://t.co/Xxn0mBuvVW 921 views · 3 likes · 0 reposts · 0 replies Open on X →
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 Open on X →
@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 Open on X →
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 Open on X →
@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 Open on X →
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 Open on X →
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 Open on X →
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 Open on X →
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 Open on X →
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 Open on X →
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 Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. jangkauan biasa untuk ukurannya, reaksi lebih lemah dari kebanyakan.

Median tayangan910akun ini917median untuk 10K–100K
Jangkauan, %2.66%akun ini3.39%median untuk 10K–100K
Interaksi, %0.38%akun ini1.53%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan9109170.99×
Jangkauan (tayangan ÷ pengikut)2.66%3.39%0.78×
Tingkat interaksi0.38%1.53%0.25×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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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