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On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence

Overview of attention for article published in BMC Bioinformatics, June 2010
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1 Q&A thread

Citations

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71 Mendeley
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Title
On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence
Published in
BMC Bioinformatics, June 2010
DOI 10.1186/1471-2105-11-359
Pubmed ID
Authors

David S Huen, Steven Russell

Abstract

In eukaryotes, most DNA-binding proteins exert their action as members of large effector complexes. The presence of these complexes are revealed in high-throughput genome-wide assays by the co-occurrence of the binding sites of different complex components. Resampling tests are one route by which the statistical significance of apparent co-occurrence can be assessed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 6%
Germany 1 1%
Sweden 1 1%
Italy 1 1%
Denmark 1 1%
United States 1 1%
Unknown 62 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 32%
Student > Ph. D. Student 17 24%
Student > Master 8 11%
Professor > Associate Professor 5 7%
Professor 4 6%
Other 12 17%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 58%
Biochemistry, Genetics and Molecular Biology 12 17%
Computer Science 5 7%
Neuroscience 2 3%
Engineering 2 3%
Other 5 7%
Unknown 4 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 February 2011.
All research outputs
#12,846,160
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,234 outputs
Outputs of similar age
#71,207
of 92,959 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 66 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 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 45th percentile – i.e., 45% 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 92,959 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.