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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effects of breaking up prolonged sitting on skeletal muscle gene expression
|
|---|---|
| Published in |
Journal of Applied Physiology, December 2012
|
| DOI | 10.1152/japplphysiol.00978.2012 |
| Pubmed ID | |
| Authors |
Celine Latouche, Jeremy B. M. Jowett, Andrew L. Carey, David A. Bertovic, Neville Owen, David W. Dunstan, Bronwyn A. Kingwell |
| Abstract |
Breaking up prolonged sitting has been beneficially associated with cardiometabolic risk markers in both observational and intervention studies. We aimed to define the acute transcriptional events induced in skeletal muscle by breaks in sedentary time. Overweight/obese adults participated in a randomized three-period, three-treatment crossover trial in an acute setting. The three 5-h interventions were performed in the postprandial state after a standardized test drink and included seated position with no activity and seated with 2-min bouts of light- or moderate-intensity treadmill walking every 20 min. Vastus lateralis biopsies were obtained in eight participants after each treatment, and gene expression was examined using microarrays validated with real-time quantitative PCR. There were 75 differentially expressed genes between the three conditions. Pathway analysis indicated the main biological functions affected were related to small-molecule biochemistry, cellular development, growth and proliferation, and carbohydrate metabolism. Interestingly, differentially expressed genes were also linked to cardiovascular disease. For example, relative to prolonged sitting, activity bouts increased expression of nicotamide N-methyltransferase, which modulates anti-inflammatory and anti-oxidative pathways and triglyceride metabolism. Activity bouts also altered expression of 10 genes involved in carbohydrate metabolism, including increased expression of dynein light chain, which may regulate translocation of the GLUT-4 glucose transporter. In addition, breaking up sedentary time reversed the effects of chronic inactivity on expression of some specific genes. This study provides insight into the muscle regulatory systems and molecular processes underlying the physiological benefits induced by interrupting prolonged sitting. |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 21% |
| United States | 7 | 21% |
| Australia | 5 | 15% |
| Norway | 2 | 6% |
| Canada | 2 | 6% |
| Japan | 1 | 3% |
| Switzerland | 1 | 3% |
| Spain | 1 | 3% |
| New Zealand | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 59% |
| Scientists | 11 | 32% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 2 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 199 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 20% |
| Student > Master | 29 | 14% |
| Researcher | 23 | 11% |
| Student > Bachelor | 22 | 11% |
| Student > Doctoral Student | 9 | 4% |
| Other | 40 | 19% |
| Unknown | 44 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 19% |
| Sports and Recreations | 40 | 19% |
| Agricultural and Biological Sciences | 19 | 9% |
| Nursing and Health Professions | 13 | 6% |
| Social Sciences | 9 | 4% |
| Other | 27 | 13% |
| Unknown | 60 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2023.
All research outputs
#879,985
of 25,373,627 outputs
Outputs from Journal of Applied Physiology
#476
of 9,077 outputs
Outputs of similar age
#6,773
of 288,779 outputs
Outputs of similar age from Journal of Applied Physiology
#4
of 47 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,077 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 288,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.