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X Demographics
Mendeley readers
Attention Score in Context
Title |
Beyond classification: gene-family phylogenies from shotgun metagenomic reads enable accurate community analysis
|
---|---|
Published in |
BMC Genomics, June 2013
|
DOI | 10.1186/1471-2164-14-419 |
Pubmed ID | |
Authors |
Samantha J Riesenfeld, Katherine S Pollard |
Abstract |
Sequence-based phylogenetic trees are a well-established tool for characterizing diversity of both macroorganisms and microorganisms. Phylogenetic methods have recently been applied to shotgun metagenomic data from microbial communities, particularly with the aim of classifying reads. But the accuracy of gene-family phylogenies that characterize evolutionary relationships among short, non-overlapping sequencing reads has not been thoroughly evaluated. |
X Demographics
The data shown below were collected from the profiles of 26 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 | 8 | 31% |
United Kingdom | 3 | 12% |
Germany | 2 | 8% |
Cameroon | 1 | 4% |
Canada | 1 | 4% |
Chile | 1 | 4% |
Peru | 1 | 4% |
France | 1 | 4% |
Unknown | 8 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 14 | 54% |
Members of the public | 8 | 31% |
Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 7% |
Japan | 2 | 2% |
United Kingdom | 2 | 2% |
Netherlands | 1 | 1% |
France | 1 | 1% |
Sweden | 1 | 1% |
Canada | 1 | 1% |
Germany | 1 | 1% |
Estonia | 1 | 1% |
Other | 3 | 3% |
Unknown | 78 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 31% |
Researcher | 24 | 24% |
Student > Master | 14 | 14% |
Professor | 8 | 8% |
Student > Bachelor | 5 | 5% |
Other | 9 | 9% |
Unknown | 8 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 54 | 55% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Computer Science | 6 | 6% |
Environmental Science | 5 | 5% |
Engineering | 4 | 4% |
Other | 11 | 11% |
Unknown | 11 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 10 August 2014.
All research outputs
#2,827,416
of 25,371,288 outputs
Outputs from BMC Genomics
#852
of 11,244 outputs
Outputs of similar age
#23,824
of 209,393 outputs
Outputs of similar age from BMC Genomics
#26
of 180 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 209,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.