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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines
|
|---|---|
| Published in |
BioData Mining, April 2021
|
| DOI | 10.1186/s13040-021-00260-z |
| Pubmed ID | |
| Authors |
Seema Singh Saharan, Pankaj Nagar, Kate Townsend Creasy, Eveline O. Stock, James Feng, Mary J. Malloy, John P. Kane |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 15% |
| Researcher | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 11 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 26% |
| Engineering | 4 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 12 | 35% |
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 April 2021.
All research outputs
#18,143,395
of 23,308,124 outputs
Outputs from BioData Mining
#255
of 313 outputs
Outputs of similar age
#304,462
of 435,301 outputs
Outputs of similar age from BioData Mining
#7
of 10 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 435,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.