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Journal of Physiology

@JPhysiol · The Physiological Society · joined 24 Nov 2010

The Journal of Physiology publishes original research in all areas of physiology and pathophysiology that illustrates new physiological principles or mechanisms

32 565Followers
1 699Following
9 176Posts total
5.2KViews on collected posts

Latest posts

This review by Kimberley M. Mellor (@FMHS_UoA) and colleagues explores the emerging potential of #circRNAs as novel therapeutic targets in #cardiometabolic disease, building on the AuPS 2025 presentation 🔬 🫀 Read the article👇️ https://t.co/Semj8H7d8T https://t.co/yBiUkP4kAT
883 views · 4 likes · 2 reposts · 0 replies Open on X →
'Pain relief but #respiratory depression: Insights into the dark side of #opioid overuse' Daniel B. Zoccal (@Unesp_Oficial) offers this #Perspective on the recent research by Kalajian et al. (2026) 💭 ✍️ Read it here👇️ https://t.co/rwu7XmHhW4 https://t.co/e1kqo8CfcI
820 views · 2 likes · 1 reposts · 0 replies Open on X →
@JPhysiol @UMKines Fibre atrophy without fibre loss is a structural split a single quads-got-smaller line flattens. Curious whether fibre size and fibre count ever sit next to each other after ACL, not one atrophy label. 11 views · 0 likes · 0 reposts · 0 replies Open on X →
@JPhysiol @STMneurosci {🔥🔥🔥 11 views · 0 likes · 0 reposts · 0 replies Open on X →
'Publish or perish, but at what cost?' Vaughan G. Macefield (@STMneurosci) offers this #Perspective on the recent Opinion article by Bossi (2026), examining the hidden personal costs in (exercise) physiology 💭 ✍️ 🔗 https://t.co/YISaDAniXS https://t.co/9i3UpPHiVy
1.1K views · 8 likes · 6 reposts · 1 replies Open on X →
Luke Stoneback (@UMKines) and colleagues investigated structural determinants of quadriceps #atrophy following #ACL injury, providing evidence for fibre atrophy without fibre loss or overt peripheral denervation 🔬 🔎 Read the study👇️ https://t.co/wz5itJHjDp https://t.co/Q0Acf0q
1.2K views · 15 likes · 2 reposts · 1 replies Open on X →
In this study, August Lomholt Kvistad (@NEXSKU) and co-investigators observed that #transcranial direct current stimulation enhances delayed retention after 5 days of lower-limb #motor skill learning ⚙️ 🧠 Read the article 👇️ https://t.co/kY2O3u07XT https://t.co/hQlJi54Srl
1.1K views · 7 likes · 2 reposts · 1 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views883this account924median for 10K–100K
Reach, %2.71%this account3.62%median for 10K–100K
Engagement, %0.68%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post8839240.96×
Reach (views ÷ followers)2.71%3.62%0.75×
Engagement rate0.68%1.52%0.45×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

1.1K10 Sep
1.2K11 Sep
1.1K
1112 Sep
11
82014 Sep
883

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.89%10 Sep
1.45%11 Sep
1.31%
0.00%12 Sep
0.00%
0.37%14 Sep
0.68%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes62.1%36 in total
Reposts22.4%13 in total
Replies5.2%3 in total
Bookmarks10.3%6 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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