| Title |
Plant DNA Barcodes Can Accurately Estimate Species Richness in Poorly Known Floras
|
|---|---|
| Published in |
PLOS ONE, November 2011
|
| DOI | 10.1371/journal.pone.0026841 |
| Pubmed ID | |
| Authors |
Craig Costion, Andrew Ford, Hugh Cross, Darren Crayn, Mark Harrington, Andrew Lowe |
| Abstract |
Widespread uptake of DNA barcoding technology for vascular plants has been slow due to the relatively poor resolution of species discrimination (∼70%) and low sequencing and amplification success of one of the two official barcoding loci, matK. Studies to date have mostly focused on finding a solution to these intrinsic limitations of the markers, rather than posing questions that can maximize the utility of DNA barcodes for plants with the current technology. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 25% |
| Chile | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Colombia | 2 | <1% |
| United Kingdom | 2 | <1% |
| France | 1 | <1% |
| Kenya | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 213 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 17% |
| Researcher | 38 | 17% |
| Student > Master | 35 | 15% |
| Student > Bachelor | 32 | 14% |
| Student > Doctoral Student | 11 | 5% |
| Other | 36 | 16% |
| Unknown | 40 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 123 | 53% |
| Biochemistry, Genetics and Molecular Biology | 21 | 9% |
| Environmental Science | 17 | 7% |
| Earth and Planetary Sciences | 5 | 2% |
| Chemistry | 4 | 2% |
| Other | 13 | 6% |
| Unknown | 47 | 20% |