The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Prediction and Identification of Power Performance Using Polygenic Models of Three Single-Nucleotide Polymorphisms in Chinese Elite Athletes
|
---|---|
Published in |
Frontiers in Genetics, October 2021
|
DOI | 10.3389/fgene.2021.726552 |
Pubmed ID | |
Authors |
Ruoyu Yang, Feng Jin, Liyan Wang, Xunzhang Shen, Qi Guo, Haihan Song, Jingyun Hu, Qiang Zhao, Jian Wan, Ming Cai |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 20% |
Researcher | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Other | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 10% |
Unknown | 8 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 4 | 20% |
Biochemistry, Genetics and Molecular Biology | 3 | 15% |
Nursing and Health Professions | 2 | 10% |
Chemical Engineering | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2021.
All research outputs
#18,090,536
of 26,473,472 outputs
Outputs from Frontiers in Genetics
#6,337
of 14,005 outputs
Outputs of similar age
#270,199
of 443,670 outputs
Outputs of similar age from Frontiers in Genetics
#314
of 766 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,005 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 49th percentile – i.e., 49% 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 443,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 766 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.