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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
|
|---|---|
| Published in |
BioData Mining, January 2021
|
| DOI | 10.1186/s13040-021-00243-0 |
| Pubmed ID | |
| Authors |
Alena Orlenko, Jason H. Moore |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Germany | 1 | 8% |
| Sweden | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 17% |
| Student > Ph. D. Student | 7 | 13% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 19 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 12% |
| Agricultural and Biological Sciences | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Neuroscience | 4 | 8% |
| Engineering | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 19 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 February 2021.
All research outputs
#6,300,389
of 23,275,636 outputs
Outputs from BioData Mining
#129
of 312 outputs
Outputs of similar age
#156,650
of 505,468 outputs
Outputs of similar age from BioData Mining
#6
of 12 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 312 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 57% 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 505,468 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 68% of its contemporaries.
We're also able to compare this research output to 12 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 50% of its contemporaries.