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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DiScRIBinATE: a rapid method for accurate taxonomic classification of metagenomic sequences
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-s7-s14 |
| Pubmed ID | |
| Authors |
Tarini Shankar Ghosh, Monzoorul Haque M, Sharmila S Mande |
| Abstract |
In metagenomic sequence data, majority of sequences/reads originate from new or partially characterized genomes, the corresponding sequences of which are absent in existing reference databases. Since taxonomic assignment of reads is based on their similarity to sequences from known organisms, the presence of reads originating from new organisms poses a major challenge to taxonomic binning methods. The recently published SOrt-ITEMS algorithm uses an elaborate work-flow to assign reads originating from hitherto unknown genomes with significant accuracy and specificity. Nevertheless, a significant proportion of reads still get misclassified. Besides, the use of an alignment-based orthology step (for improving the specificity of assignments) increases the total binning time of SOrt-ITEMS. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cameroon | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 5 | 5% |
| United States | 4 | 4% |
| France | 2 | 2% |
| Spain | 2 | 2% |
| United Kingdom | 2 | 2% |
| India | 1 | <1% |
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 88 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 27% |
| Researcher | 30 | 27% |
| Student > Master | 15 | 14% |
| Student > Bachelor | 7 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 17 | 15% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 63% |
| Computer Science | 14 | 13% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Mathematics | 2 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 6 | 5% |
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 17 June 2014.
All research outputs
#6,940,716
of 22,757,090 outputs
Outputs from BMC Bioinformatics
#2,682
of 7,272 outputs
Outputs of similar age
#33,088
of 99,070 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 54 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,272 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 gotten more attention than average, scoring higher than 61% 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 99,070 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 65% of its contemporaries.
We're also able to compare this research output to 54 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 62% of its contemporaries.