| Title |
The Real maccoyii: Identifying Tuna Sushi with DNA Barcodes – Contrasting Characteristic Attributes and Genetic Distances
|
|---|---|
| Published in |
PLOS ONE, November 2009
|
| DOI | 10.1371/journal.pone.0007866 |
| Pubmed ID | |
| Authors |
Jacob H. Lowenstein, George Amato, Sergios-Orestis Kolokotronis |
| Abstract |
The use of DNA barcodes for the identification of described species is one of the least controversial and most promising applications of barcoding. There is no consensus, however, as to what constitutes an appropriate identification standard and most barcoding efforts simply attempt to pair a query sequence with reference sequences and deem identification successful if it falls within the bounds of some pre-established cutoffs using genetic distance. Since the Renaissance, however, most biological classification schemes have relied on the use of diagnostic characters to identify and place species. |
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 % |
|---|---|---|
| United States | 4 | 31% |
| United Kingdom | 3 | 23% |
| Canada | 1 | 8% |
| Japan | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 3 | 1% |
| Brazil | 2 | <1% |
| Indonesia | 1 | <1% |
| Kenya | 1 | <1% |
| Colombia | 1 | <1% |
| Netherlands | 1 | <1% |
| Hungary | 1 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 240 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 70 | 27% |
| Student > Ph. D. Student | 57 | 22% |
| Student > Master | 28 | 11% |
| Student > Bachelor | 23 | 9% |
| Other | 18 | 7% |
| Other | 43 | 16% |
| Unknown | 24 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 148 | 56% |
| Biochemistry, Genetics and Molecular Biology | 25 | 10% |
| Environmental Science | 23 | 9% |
| Earth and Planetary Sciences | 7 | 3% |
| Social Sciences | 7 | 3% |
| Other | 23 | 9% |
| Unknown | 30 | 11% |