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X Demographics
Mendeley readers
Attention Score in Context
Title |
MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm
|
---|---|
Published in |
Microbiome, August 2014
|
DOI | 10.1186/2049-2618-2-26 |
Pubmed ID | |
Authors |
Yu-Wei Wu, Yung-Hsu Tang, Susannah G Tringe, Blake A Simmons, Steven W Singer |
Abstract |
Recovering individual genomes from metagenomic datasets allows access to uncultivated microbial populations that may have important roles in natural and engineered ecosystems. Understanding the roles of these uncultivated populations has broad application in ecology, evolution, biotechnology and medicine. Accurate binning of assembled metagenomic sequences is an essential step in recovering the genomes and understanding microbial functions. |
X Demographics
The data shown below were collected from the profiles of 30 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 | 13 | 43% |
United Kingdom | 5 | 17% |
Canada | 2 | 7% |
Denmark | 1 | 3% |
Hong Kong | 1 | 3% |
Norway | 1 | 3% |
China | 1 | 3% |
Germany | 1 | 3% |
Unknown | 5 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 21 | 70% |
Members of the public | 9 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 648 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 2% |
Brazil | 3 | <1% |
Canada | 3 | <1% |
Spain | 2 | <1% |
Estonia | 2 | <1% |
Germany | 2 | <1% |
Italy | 1 | <1% |
Sweden | 1 | <1% |
New Zealand | 1 | <1% |
Other | 6 | <1% |
Unknown | 615 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 156 | 24% |
Researcher | 132 | 20% |
Student > Master | 84 | 13% |
Student > Bachelor | 55 | 8% |
Student > Doctoral Student | 31 | 5% |
Other | 90 | 14% |
Unknown | 100 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 222 | 34% |
Biochemistry, Genetics and Molecular Biology | 134 | 21% |
Environmental Science | 42 | 6% |
Computer Science | 39 | 6% |
Immunology and Microbiology | 30 | 5% |
Other | 60 | 9% |
Unknown | 121 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 04 April 2024.
All research outputs
#514,901
of 25,637,545 outputs
Outputs from Microbiome
#128
of 1,784 outputs
Outputs of similar age
#4,572
of 240,673 outputs
Outputs of similar age from Microbiome
#1
of 14 outputs
Altmetric has tracked 25,637,545 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 1,784 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. 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 240,673 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 98% of its contemporaries.
We're also able to compare this research output to 14 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.