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Mendeley readers
Attention Score in Context
| Title |
jMOTU and Taxonerator: Turning DNA Barcode Sequences into Annotated Operational Taxonomic Units
|
|---|---|
| Published in |
PLOS ONE, April 2011
|
| DOI | 10.1371/journal.pone.0019259 |
| Pubmed ID | |
| Authors |
Martin Jones, Anisah Ghoorah, Mark Blaxter |
| Abstract |
DNA barcoding and other DNA sequence-based techniques for investigating and estimating biodiversity require explicit methods for associating individual sequences with taxa, as it is at the taxon level that biodiversity is assessed. For many projects, the bioinformatic analyses required pose problems for laboratories whose prime expertise is not in bioinformatics. User-friendly tools are required for both clustering sequences into molecular operational taxonomic units (MOTU) and for associating these MOTU with known organismal taxonomies. |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| France | 3 | 1% |
| Germany | 2 | <1% |
| United Kingdom | 2 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Colombia | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 255 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 23% |
| Student > Ph. D. Student | 54 | 20% |
| Student > Master | 48 | 18% |
| Student > Bachelor | 23 | 8% |
| Student > Doctoral Student | 13 | 5% |
| Other | 51 | 19% |
| Unknown | 21 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 170 | 62% |
| Biochemistry, Genetics and Molecular Biology | 29 | 11% |
| Environmental Science | 23 | 8% |
| Computer Science | 10 | 4% |
| Medicine and Dentistry | 3 | 1% |
| Other | 9 | 3% |
| Unknown | 30 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 January 2012.
All research outputs
#12,852,556
of 22,661,413 outputs
Outputs from PLOS ONE
#100,071
of 193,502 outputs
Outputs of similar age
#78,326
of 109,678 outputs
Outputs of similar age from PLOS ONE
#1,016
of 1,469 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 109,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,469 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.