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X Demographics
Mendeley readers
Attention Score in Context
Title |
Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks
|
---|---|
Published in |
BioData Mining, December 2015
|
DOI | 10.1186/s13040-015-0062-4 |
Pubmed ID | |
Authors |
Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore |
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 % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 32% |
Student > Bachelor | 3 | 16% |
Student > Postgraduate | 3 | 16% |
Student > Master | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Other | 3 | 16% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 26% |
Biochemistry, Genetics and Molecular Biology | 3 | 16% |
Medicine and Dentistry | 3 | 16% |
Computer Science | 3 | 16% |
Mathematics | 2 | 11% |
Other | 0 | 0% |
Unknown | 3 | 16% |
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 08 April 2020.
All research outputs
#18,676,383
of 23,140,503 outputs
Outputs from BioData Mining
#260
of 310 outputs
Outputs of similar age
#282,800
of 390,956 outputs
Outputs of similar age from BioData Mining
#16
of 21 outputs
Altmetric has tracked 23,140,503 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 310 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 6th percentile – i.e., 6% 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 390,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% 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 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.