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 |
kruX: matrix-based non-parametric eQTL discovery
|
|---|---|
| Published in |
BMC Bioinformatics, January 2014
|
| DOI | 10.1186/1471-2105-15-11 |
| Pubmed ID | |
| Authors |
Jianlong Qi, Hassan Foroughi Asl, Johan Björkegren, Tom Michoel |
| Abstract |
The Kruskal-Wallis test is a popular non-parametric statistical test for identifying expression quantitative trait loci (eQTLs) from genome-wide data due to its robustness against variations in the underlying genetic model and expression trait distribution, but testing billions of marker-trait combinations one-by-one can become computationally prohibitive. |
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 % |
|---|---|---|
| Norway | 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 5% |
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 26% |
| Researcher | 8 | 19% |
| Professor > Associate Professor | 5 | 12% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 38% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Computer Science | 5 | 12% |
| Medicine and Dentistry | 5 | 12% |
| Engineering | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 29 September 2022.
All research outputs
#2,008,409
of 24,520,187 outputs
Outputs from BMC Bioinformatics
#470
of 7,548 outputs
Outputs of similar age
#23,270
of 317,625 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 101 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,548 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 317,625 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.