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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phylogenetic placement of metagenomic reads using the minimum evolution principle
|
|---|---|
| Published in |
BMC Genomics, January 2015
|
| DOI | 10.1186/1471-2164-16-s1-s13 |
| Pubmed ID | |
| Authors |
Alan Filipski, Koichiro Tamura, Paul Billing-Ross, Oscar Murillo, Sudhir Kumar |
| Abstract |
A central problem of computational metagenomics is determining the correct placement into an existing phylogenetic tree of individual reads (nucleotide sequences of varying lengths, ranging from hundreds to thousands of bases) obtained using next-generation sequencing of DNA samples from a mixture of known and unknown species. Correct placement allows us to easily identify or classify the sequences in the sample as to taxonomic position or function. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 15% |
| United Kingdom | 2 | 15% |
| India | 1 | 8% |
| Spain | 1 | 8% |
| United States | 1 | 8% |
| Germany | 1 | 8% |
| China | 1 | 8% |
| Chile | 1 | 8% |
| Austria | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| Brazil | 2 | 5% |
| Argentina | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 33 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 28% |
| Student > Master | 8 | 20% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Bachelor | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 43% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Computer Science | 4 | 10% |
| Immunology and Microbiology | 3 | 8% |
| Environmental Science | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 5 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 March 2015.
All research outputs
#5,138,154
of 25,388,177 outputs
Outputs from BMC Genomics
#1,957
of 11,245 outputs
Outputs of similar age
#70,514
of 377,596 outputs
Outputs of similar age from BMC Genomics
#64
of 316 outputs
Altmetric has tracked 25,388,177 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,245 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 377,596 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 81% of its contemporaries.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.