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Serum reference value of two potential doping candidates—myostatin and insulin-like growth factor-I in the healthy young male

Overview of attention for article published in Journal of the International Society of Sports Nutrition, April 2022
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)

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Title
Serum reference value of two potential doping candidates—myostatin and insulin-like growth factor-I in the healthy young male
Published in
Journal of the International Society of Sports Nutrition, April 2022
DOI 10.1186/s12970-016-0160-9
Pubmed ID
Authors

Der-Sheng Han, Chi-Huang Huang, Ssu-Yuan Chen, Wei-Shiung Yang

Abstract

Myostatin negatively regulates muscle growth, and its inhibition by suitable proteins can increase muscle bulk and exercise performance. However, the reference values of serum myostatin in athletes performing strength training are still lacking. A cross-sectional study recruiting28 male collegiate athletes performing strength training and 29 age-matched normal controls was conducted. The serum concentration of myostatin and insulin-like growth factor 1 (IGF-1), grip strength, and body composition were the main outcome measures. We used regression models to analyze the correlation between serum markers and the physiological parameters. The athlete group had greater height, weight, body mass index (BMI), fat mass percentage, fat-free mass, muscle mass, waist girth, grip strength, and estimated daily energy expenditure. The IGF-1 concentration was higher in the athlete group (324 ± 80 vs. 263 ± 134 ng/ml), but the myostatin levels did not differ (12.1 ± 3.7 vs. 12.4 ± 3.5 ng/ml). The reference value for IGF-1 among the healthy young males was 293 ± 114 ng/ml, correlated with age and height; the value for myostatin was 12.3 ± 3.6 ng/ml, correlated negatively with BMI, fat mass percentage, and waist girth after adjustment for age. Myostatin level is negatively related to fat percentage, and serum IGF-1 is positively related to height. The reference values could provide a basis for future doping-related study.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 14%
Student > Master 9 13%
Researcher 7 10%
Student > Doctoral Student 5 7%
Professor > Associate Professor 4 6%
Other 12 17%
Unknown 22 32%
Readers by discipline Count As %
Sports and Recreations 10 14%
Nursing and Health Professions 7 10%
Medicine and Dentistry 6 9%
Biochemistry, Genetics and Molecular Biology 4 6%
Unspecified 3 4%
Other 6 9%
Unknown 33 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 February 2018.
All research outputs
#14,028,602
of 22,931,367 outputs
Outputs from Journal of the International Society of Sports Nutrition
#741
of 886 outputs
Outputs of similar age
#204,911
of 439,631 outputs
Outputs of similar age from Journal of the International Society of Sports Nutrition
#707
of 850 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 886 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 58.3. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 439,631 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 850 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.