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X Demographics
Mendeley readers
Attention Score in Context
Title |
AXIOME: automated exploration of microbial diversity
|
---|---|
Published in |
Giga Science, March 2013
|
DOI | 10.1186/2047-217x-2-3 |
Pubmed ID | |
Authors |
Michael DJ Lynch, Andre P Masella, Michael W Hall, Andrea K Bartram, Josh D Neufeld |
Abstract |
Although high-throughput sequencing of small subunit rRNA genes has revolutionized our understanding of microbial ecosystems, these technologies generate data at depths that benefit from automated analysis. Here we present AXIOME (Automation, eXtension, and Integration Of Microbial Ecology), a highly flexible and extensible management tool for popular microbial ecology analysis packages that promotes reproducibility and customization in microbial research. |
X Demographics
The data shown below were collected from the profiles of 28 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 | 29% |
United Kingdom | 5 | 18% |
Canada | 5 | 18% |
New Zealand | 1 | 4% |
Hong Kong | 1 | 4% |
Sweden | 1 | 4% |
Denmark | 1 | 4% |
Unknown | 6 | 21% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 46% |
Scientists | 12 | 43% |
Science communicators (journalists, bloggers, editors) | 3 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 4% |
Canada | 3 | 2% |
Estonia | 2 | 1% |
Sweden | 2 | 1% |
France | 2 | 1% |
Brazil | 2 | 1% |
Chile | 1 | <1% |
Hong Kong | 1 | <1% |
Colombia | 1 | <1% |
Other | 8 | 5% |
Unknown | 121 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 25% |
Researcher | 33 | 22% |
Student > Master | 27 | 18% |
Student > Bachelor | 11 | 7% |
Professor | 9 | 6% |
Other | 22 | 15% |
Unknown | 10 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 77 | 52% |
Biochemistry, Genetics and Molecular Biology | 19 | 13% |
Environmental Science | 17 | 11% |
Computer Science | 5 | 3% |
Earth and Planetary Sciences | 5 | 3% |
Other | 10 | 7% |
Unknown | 16 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 May 2013.
All research outputs
#1,349,480
of 25,782,917 outputs
Outputs from Giga Science
#217
of 1,181 outputs
Outputs of similar age
#10,014
of 209,854 outputs
Outputs of similar age from Giga Science
#4
of 4 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,181 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has done well, scoring higher than 81% 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 209,854 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 95% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.