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X Demographics
Mendeley readers
Attention Score in Context
Title |
A comparative evaluation of sequence classification programs
|
---|---|
Published in |
BMC Bioinformatics, May 2012
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DOI | 10.1186/1471-2105-13-92 |
Pubmed ID | |
Authors |
Adam L Bazinet, Michael P Cummings |
Abstract |
A fundamental problem in modern genomics is to taxonomically or functionally classify DNA sequence fragments derived from environmental sampling (i.e., metagenomics). Several different methods have been proposed for doing this effectively and efficiently, and many have been implemented in software. In addition to varying their basic algorithmic approach to classification, some methods screen sequence reads for 'barcoding genes' like 16S rRNA, or various types of protein-coding genes. Due to the sheer number and complexity of methods, it can be difficult for a researcher to choose one that is well-suited for a particular analysis. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 4 | 17% |
India | 3 | 13% |
United Kingdom | 3 | 13% |
Belgium | 1 | 4% |
Canada | 1 | 4% |
Egypt | 1 | 4% |
Japan | 1 | 4% |
Sweden | 1 | 4% |
Unknown | 8 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 12 | 52% |
Members of the public | 11 | 48% |
Mendeley readers
The data shown below were compiled from readership statistics for 346 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 4% |
Brazil | 6 | 2% |
United Kingdom | 4 | 1% |
Canada | 4 | 1% |
Germany | 3 | <1% |
Sweden | 3 | <1% |
Netherlands | 2 | <1% |
France | 2 | <1% |
Japan | 2 | <1% |
Other | 10 | 3% |
Unknown | 296 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 89 | 26% |
Student > Ph. D. Student | 87 | 25% |
Student > Master | 54 | 16% |
Student > Bachelor | 23 | 7% |
Professor > Associate Professor | 18 | 5% |
Other | 58 | 17% |
Unknown | 17 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 190 | 55% |
Computer Science | 44 | 13% |
Biochemistry, Genetics and Molecular Biology | 32 | 9% |
Environmental Science | 18 | 5% |
Engineering | 8 | 2% |
Other | 29 | 8% |
Unknown | 25 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 22 February 2022.
All research outputs
#930,223
of 23,172,045 outputs
Outputs from BMC Bioinformatics
#80
of 7,342 outputs
Outputs of similar age
#5,040
of 164,557 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 103 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,342 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 98% 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 164,557 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 96% of its contemporaries.
We're also able to compare this research output to 103 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 97% of its contemporaries.