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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate genome relative abundance estimation for closely related species in a metagenomic sample
|
|---|---|
| Published in |
BMC Bioinformatics, July 2014
|
| DOI | 10.1186/1471-2105-15-242 |
| Pubmed ID | |
| Authors |
Michael B Sohn, Lingling An, Naruekamol Pookhao, Qike Li |
| Abstract |
Metagenomics has a great potential to discover previously unattainable information about microbial communities. An important prerequisite for such discoveries is to accurately estimate the composition of microbial communities. Most of prevalent homology-based approaches utilize solely the results of an alignment tool such as BLAST, limiting their estimation accuracy to high ranks of the taxonomy tree. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 3 | 17% |
| Germany | 2 | 11% |
| United Kingdom | 2 | 11% |
| Mexico | 1 | 6% |
| Norway | 1 | 6% |
| Belgium | 1 | 6% |
| China | 1 | 6% |
| Sweden | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 78% |
| Members of the public | 4 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 10% |
| Sweden | 2 | 3% |
| Brazil | 2 | 3% |
| Germany | 1 | 1% |
| Estonia | 1 | 1% |
| Norway | 1 | 1% |
| Unknown | 63 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 31% |
| Researcher | 13 | 17% |
| Student > Master | 8 | 10% |
| Professor > Associate Professor | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 44% |
| Computer Science | 7 | 9% |
| Mathematics | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Environmental Science | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 10 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 October 2014.
All research outputs
#4,112,533
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#1,528
of 7,400 outputs
Outputs of similar age
#39,479
of 228,457 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 132 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 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 well, scoring higher than 79% 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 228,457 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 82% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.