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X Demographics
Mendeley readers
Attention Score in Context
| Title |
M-pick, a modularity-based method for OTU picking of 16S rRNA sequences
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-43 |
| Pubmed ID | |
| Authors |
Xiaoyu Wang, Jin Yao, Yijun Sun, Volker Mai |
| Abstract |
Binning 16S rRNA sequences into operational taxonomic units (OTUs) is an initial crucial step in analyzing large sequence datasets generated to determine microbial community compositions in various environments including that of the human gut. Various methods have been developed, but most suffer from either inaccuracies or from being unable to handle millions of sequences generated in current studies. Furthermore, existing binning methods usually require a priori decisions regarding binning parameters such as a distance level for defining an OTU. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 13% |
| Canada | 1 | 13% |
| United States | 1 | 13% |
| United Kingdom | 1 | 13% |
| Sweden | 1 | 13% |
| France | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Estonia | 2 | 3% |
| France | 1 | 1% |
| Canada | 1 | 1% |
| Sweden | 1 | 1% |
| Spain | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 64 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 31% |
| Student > Ph. D. Student | 13 | 18% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 7 | 9% |
| Professor > Associate Professor | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 46% |
| Computer Science | 12 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Environmental Science | 6 | 8% |
| Engineering | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 7 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 April 2014.
All research outputs
#7,115,080
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#2,631
of 7,454 outputs
Outputs of similar age
#76,587
of 288,514 outputs
Outputs of similar age from BMC Bioinformatics
#52
of 136 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 288,514 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.