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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hypothesis Testing and Power Calculations for Taxonomic-Based Human Microbiome Data
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0052078 |
| Pubmed ID | |
| Authors |
Patricio S. La Rosa, J. Paul Brooks, Elena Deych, Edward L. Boone, David J. Edwards, Qin Wang, Erica Sodergren, George Weinstock, William D. Shannon |
| Abstract |
This paper presents new biostatistical methods for the analysis of microbiome data based on a fully parametric approach using all the data. The Dirichlet-multinomial distribution allows the analyst to calculate power and sample sizes for experimental design, perform tests of hypotheses (e.g., compare microbiomes across groups), and to estimate parameters describing microbiome properties. The use of a fully parametric model for these data has the benefit over alternative non-parametric approaches such as bootstrapping and permutation testing, in that this model is able to retain more information contained in the data. This paper details the statistical approaches for several tests of hypothesis and power/sample size calculations, and applies them for illustration to taxonomic abundance distribution and rank abundance distribution data using HMP Jumpstart data on 24 subjects for saliva, subgingival, and supragingival samples. Software for running these analyses is available. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 27% |
| Australia | 4 | 18% |
| United Kingdom | 3 | 14% |
| Germany | 2 | 9% |
| India | 1 | 5% |
| Canada | 1 | 5% |
| Egypt | 1 | 5% |
| Sweden | 1 | 5% |
| Unknown | 3 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 59% |
| Members of the public | 8 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 653 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 3% |
| Canada | 3 | <1% |
| Argentina | 2 | <1% |
| Germany | 2 | <1% |
| India | 2 | <1% |
| United Kingdom | 2 | <1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 618 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 160 | 25% |
| Student > Ph. D. Student | 136 | 21% |
| Student > Master | 63 | 10% |
| Professor > Associate Professor | 43 | 7% |
| Student > Doctoral Student | 38 | 6% |
| Other | 109 | 17% |
| Unknown | 104 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 211 | 32% |
| Biochemistry, Genetics and Molecular Biology | 89 | 14% |
| Medicine and Dentistry | 87 | 13% |
| Immunology and Microbiology | 33 | 5% |
| Mathematics | 27 | 4% |
| Other | 79 | 12% |
| Unknown | 127 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 19 January 2021.
All research outputs
#2,031,768
of 25,845,895 outputs
Outputs from PLOS ONE
#24,672
of 225,390 outputs
Outputs of similar age
#18,326
of 290,761 outputs
Outputs of similar age from PLOS ONE
#507
of 4,889 outputs
Altmetric has tracked 25,845,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 88% of its peers.
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 290,761 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 4,889 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.