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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation
|
|---|---|
| Published in |
BMC Medical Genomics, March 2022
|
| DOI | 10.1186/s12920-022-01212-0 |
| Pubmed ID | |
| Authors |
Li-Da Wu, Feng Li, Jia-Yi Chen, Jie Zhang, Ling-Ling Qian, Ru-Xing Wang |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 27% |
| Researcher | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Computer Science | 1 | 7% |
| Social Sciences | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 8 | 53% |
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 20 March 2022.
All research outputs
#19,416,201
of 23,885,338 outputs
Outputs from BMC Medical Genomics
#905
of 1,283 outputs
Outputs of similar age
#318,699
of 428,493 outputs
Outputs of similar age from BMC Medical Genomics
#30
of 46 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,283 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% 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 428,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.