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Polymorphism Interaction Analysis (PIA): a method for investigating complex gene-gene interactions

Overview of attention for article published in BMC Bioinformatics, March 2008
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Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
57 Mendeley
citeulike
5 CiteULike
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Title
Polymorphism Interaction Analysis (PIA): a method for investigating complex gene-gene interactions
Published in
BMC Bioinformatics, March 2008
DOI 10.1186/1471-2105-9-146
Pubmed ID
Authors

Leah E Mechanic, Brian T Luke, Julie E Goodman, Stephen J Chanock, Curtis C Harris

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Germany 2 4%
France 1 2%
Brazil 1 2%
United Kingdom 1 2%
India 1 2%
Spain 1 2%
Mexico 1 2%
Unknown 46 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Student > Ph. D. Student 15 26%
Professor > Associate Professor 7 12%
Student > Master 7 12%
Professor 4 7%
Other 6 11%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 42%
Medicine and Dentistry 10 18%
Biochemistry, Genetics and Molecular Biology 7 12%
Computer Science 5 9%
Business, Management and Accounting 1 2%
Other 5 9%
Unknown 5 9%
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 14 August 2008.
All research outputs
#15,676,645
of 23,295,606 outputs
Outputs from BMC Bioinformatics
#5,471
of 7,378 outputs
Outputs of similar age
#68,862
of 80,811 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 46 outputs
Altmetric has tracked 23,295,606 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 80,811 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.