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Analyzing 'omics data using hierarchical models

Overview of attention for article published in Nature Biotechnology, April 2010
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Mentioned by

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2 X users

Citations

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52 Dimensions

Readers on

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811 Mendeley
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13 CiteULike
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2 Connotea
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Title
Analyzing 'omics data using hierarchical models
Published in
Nature Biotechnology, April 2010
DOI 10.1038/nbt.1619
Pubmed ID
Authors

Hongkai Ji, X Shirley Liu

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 811 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 29 4%
Germany 8 <1%
United Kingdom 7 <1%
Sweden 5 <1%
France 3 <1%
Spain 3 <1%
Russia 3 <1%
Denmark 3 <1%
Brazil 3 <1%
Other 33 4%
Unknown 714 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 241 30%
Student > Ph. D. Student 208 26%
Student > Master 79 10%
Student > Bachelor 49 6%
Professor > Associate Professor 43 5%
Other 142 18%
Unknown 49 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 400 49%
Biochemistry, Genetics and Molecular Biology 139 17%
Medicine and Dentistry 58 7%
Computer Science 37 5%
Neuroscience 16 2%
Other 94 12%
Unknown 67 8%
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 18 September 2017.
All research outputs
#15,234,609
of 22,651,245 outputs
Outputs from Nature Biotechnology
#7,371
of 8,192 outputs
Outputs of similar age
#77,709
of 95,420 outputs
Outputs of similar age from Nature Biotechnology
#54
of 55 outputs
Altmetric has tracked 22,651,245 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 8,192 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one is in the 7th percentile – i.e., 7% 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 95,420 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 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.