↓ Skip to main content

Analyzing 'omics data using hierarchical models

Overview of attention for article published in Nature Biotechnology, April 2010
Altmetric Badge

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
729 Mendeley
citeulike
13 CiteULike
connotea
2 Connotea
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

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 729 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 32 4%
Germany 9 1%
United Kingdom 7 <1%
Sweden 5 <1%
Italy 5 <1%
India 4 <1%
Canada 4 <1%
Russia 3 <1%
France 3 <1%
Other 34 5%
Unknown 623 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 217 30%
Student > Ph. D. Student 211 29%
Student > Master 74 10%
Student > Bachelor 44 6%
Professor > Associate Professor 42 6%
Other 124 17%
Unknown 17 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 397 54%
Biochemistry, Genetics and Molecular Biology 120 16%
Medicine and Dentistry 57 8%
Computer Science 35 5%
Chemistry 15 2%
Other 75 10%
Unknown 30 4%

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
#7,344,722
of 11,788,552 outputs
Outputs from Nature Biotechnology
#5,665
of 6,312 outputs
Outputs of similar age
#55,758
of 92,777 outputs
Outputs of similar age from Nature Biotechnology
#72
of 89 outputs
Altmetric has tracked 11,788,552 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,312 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one is in the 6th percentile – i.e., 6% 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 92,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.