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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of metagenomic samples using sequence signatures
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-730 |
| Pubmed ID | |
| Authors |
Bai Jiang, Kai Song, Jie Ren, Minghua Deng, Fengzhu Sun, Xuegong Zhang |
| Abstract |
Sequence signatures, as defined by the frequencies of k-tuples (or k-mers, k-grams), have been used extensively to compare genomic sequences of individual organisms, to identify cis-regulatory modules, and to study the evolution of regulatory sequences. Recently many next-generation sequencing (NGS) read data sets of metagenomic samples from a variety of different environments have been generated. The assembly of these reads can be difficult and analysis methods based on mapping reads to genes or pathways are also restricted by the availability and completeness of existing databases. Sequence-signature-based methods, however, do not need the complete genomes or existing databases and thus, can potentially be very useful for the comparison of metagenomic samples using NGS read data. Still, the applications of sequence signature methods for the comparison of metagenomic samples have not been well studied. |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| United States | 1 | 14% |
| China | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| Germany | 2 | 1% |
| France | 2 | 1% |
| Italy | 2 | 1% |
| Sweden | 2 | 1% |
| United Kingdom | 2 | 1% |
| Austria | 1 | <1% |
| South Africa | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 154 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 30% |
| Student > Ph. D. Student | 51 | 29% |
| Student > Master | 26 | 15% |
| Student > Doctoral Student | 8 | 5% |
| Other | 6 | 3% |
| Other | 17 | 10% |
| Unknown | 16 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 51% |
| Biochemistry, Genetics and Molecular Biology | 25 | 14% |
| Computer Science | 17 | 10% |
| Environmental Science | 4 | 2% |
| Earth and Planetary Sciences | 4 | 2% |
| Other | 17 | 10% |
| Unknown | 20 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 May 2020.
All research outputs
#1,375,008
of 22,691,736 outputs
Outputs from BMC Genomics
#285
of 10,617 outputs
Outputs of similar age
#13,192
of 280,466 outputs
Outputs of similar age from BMC Genomics
#11
of 382 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,617 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 97% 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 280,466 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 382 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.