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 |
Confounding of linkage disequilibrium patterns in large scale DNA based gene-gene interaction studies
|
|---|---|
| Published in |
BioData Mining, June 2019
|
| DOI | 10.1186/s13040-019-0199-7 |
| Pubmed ID | |
| Authors |
Marc Joiret, Jestinah M. Mahachie John, Elena S. Gusareva, Kristel Van Steen |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Mexico | 1 | 20% |
| United States | 1 | 20% |
| France | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 23% |
| Student > Master | 16 | 15% |
| Student > Bachelor | 11 | 10% |
| Researcher | 9 | 8% |
| Other | 7 | 6% |
| Other | 10 | 9% |
| Unknown | 32 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 28% |
| Agricultural and Biological Sciences | 20 | 18% |
| Immunology and Microbiology | 6 | 5% |
| Medicine and Dentistry | 4 | 4% |
| Neuroscience | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 33 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 June 2019.
All research outputs
#13,724,124
of 23,267,128 outputs
Outputs from BioData Mining
#190
of 311 outputs
Outputs of similar age
#176,532
of 353,920 outputs
Outputs of similar age from BioData Mining
#5
of 5 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 311 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 36th percentile – i.e., 36% 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 353,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.