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Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction

Overview of attention for article published in BioData Mining, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
1 CiteULike
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Title
Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction
Published in
BioData Mining, January 2013
DOI 10.1186/1756-0381-6-1
Pubmed ID
Authors

Hongying Dai, Richard J Charnigo, Mara L Becker, J Steven Leeder, Alison A Motsinger-Reif

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 9 23%
Student > Master 4 10%
Student > Postgraduate 3 8%
Professor 3 8%
Other 6 15%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 28%
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 7 18%
Computer Science 2 5%
Mathematics 2 5%
Other 6 15%
Unknown 4 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 May 2017.
All research outputs
#2,582,544
of 10,616,067 outputs
Outputs from BioData Mining
#100
of 208 outputs
Outputs of similar age
#81,439
of 308,336 outputs
Outputs of similar age from BioData Mining
#2
of 5 outputs
Altmetric has tracked 10,616,067 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 50% 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 308,336 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 73% of its contemporaries.
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. This one has scored higher than 3 of them.