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An application of Random Forests to a genome-wide association dataset: Methodological considerations

Overview of attention for article published in BMC Genomic Data, June 2010
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Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
171 Dimensions

Readers on

mendeley
276 Mendeley
citeulike
4 CiteULike
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Title
An application of Random Forests to a genome-wide association dataset: Methodological considerations & new findings
Published in
BMC Genomic Data, June 2010
DOI 10.1186/1471-2156-11-49
Pubmed ID
Authors

Benjamin A Goldstein, Alan E Hubbard, Adele Cutler, Lisa F Barcellos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
Germany 3 1%
Brazil 3 1%
United Kingdom 2 <1%
France 1 <1%
India 1 <1%
Belgium 1 <1%
Turkey 1 <1%
Russia 1 <1%
Other 1 <1%
Unknown 253 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 25%
Researcher 57 21%
Student > Master 28 10%
Professor > Associate Professor 21 8%
Student > Doctoral Student 20 7%
Other 54 20%
Unknown 26 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 29%
Computer Science 44 16%
Biochemistry, Genetics and Molecular Biology 27 10%
Medicine and Dentistry 22 8%
Engineering 14 5%
Other 53 19%
Unknown 35 13%
Attention Score in Context

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 16 August 2010.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from BMC Genomic Data
#668
of 1,204 outputs
Outputs of similar age
#85,433
of 104,221 outputs
Outputs of similar age from BMC Genomic Data
#11
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 104,221 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.