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Mendeley readers
Attention Score in Context
Title |
Metagenomic biomarker discovery and explanation
|
---|---|
Published in |
Genome Biology, June 2011
|
DOI | 10.1186/gb-2011-12-6-r60 |
Pubmed ID | |
Authors |
Nicola Segata, Jacques Izard, Levi Waldron, Dirk Gevers, Larisa Miropolsky, Wendy S Garrett, Curtis Huttenhower |
Abstract |
This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
United Kingdom | 1 | 8% |
Canada | 1 | 8% |
Italy | 1 | 8% |
India | 1 | 8% |
Japan | 1 | 8% |
Unknown | 5 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 54% |
Members of the public | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 4,429 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 44 | <1% |
United Kingdom | 11 | <1% |
Brazil | 8 | <1% |
France | 6 | <1% |
Spain | 5 | <1% |
Germany | 5 | <1% |
Canada | 4 | <1% |
India | 3 | <1% |
Japan | 3 | <1% |
Other | 25 | <1% |
Unknown | 4315 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 956 | 22% |
Researcher | 795 | 18% |
Student > Master | 529 | 12% |
Student > Bachelor | 286 | 6% |
Student > Doctoral Student | 248 | 6% |
Other | 627 | 14% |
Unknown | 988 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1239 | 28% |
Biochemistry, Genetics and Molecular Biology | 636 | 14% |
Medicine and Dentistry | 320 | 7% |
Immunology and Microbiology | 308 | 7% |
Environmental Science | 185 | 4% |
Other | 550 | 12% |
Unknown | 1191 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 21 March 2024.
All research outputs
#743,792
of 25,837,817 outputs
Outputs from Genome Biology
#480
of 4,513 outputs
Outputs of similar age
#2,794
of 129,265 outputs
Outputs of similar age from Genome Biology
#3
of 38 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 89% 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 129,265 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 97% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.