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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis
|
|---|---|
| Published in |
BMC Medical Genomics, May 2014
|
| DOI | 10.1186/1755-8794-7-s1-s6 |
| Pubmed ID | |
| Authors |
Min-Seok Kwon, Mira Park, Taesung Park |
| Abstract |
With the development of high-throughput genotyping and sequencing technology, there are growing evidences of association with genetic variants and complex traits. In spite of thousands of genetic variants discovered, such genetic markers have been shown to explain only a very small proportion of the underlying genetic variance of complex traits. Gene-gene interaction (GGI) analysis is expected to unveil a large portion of unexplained heritability of complex traits. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 34% |
| Researcher | 7 | 15% |
| Student > Master | 7 | 15% |
| Student > Doctoral Student | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 28% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Computer Science | 5 | 11% |
| Medicine and Dentistry | 4 | 9% |
| Earth and Planetary Sciences | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 9 | 19% |
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 01 August 2014.
All research outputs
#18,375,478
of 22,759,618 outputs
Outputs from BMC Medical Genomics
#860
of 1,222 outputs
Outputs of similar age
#164,341
of 227,621 outputs
Outputs of similar age from BMC Medical Genomics
#17
of 21 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,222 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 227,621 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 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.