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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can plant DNA barcoding be implemented in species-rich tropical regions? A perspective from São Paulo State, Brazil
|
|---|---|
| Published in |
Genetics and Molecular Biology, September 2018
|
| DOI | 10.1590/1678-4685-gmb-2017-0282 |
| Pubmed ID | |
| Authors |
Renato A. Ferreira de Lima, Alexandre Adalardo de Oliveira, Gabriel Dalla Colletta, Thiago Bevilacqua Flores, Rubens L. Gayoso Coelho, Pedro Dias, Gabriel Ponzoni Frey, Amaia Iribar, Ricardo Ribeiro Rodrigues, Vinícius Castro Souza, Jérôme Chave |
| Abstract |
DNA barcoding helps to identify species, especially when identification is based on parts of organisms or life stages such as seeds, pollen, wood, roots or juveniles. However, the implementation of this approach strongly depends on the existence of complete reference libraries of DNA sequences. If such a library is incomplete, DNA-based identification will be inefficient. Here, we assess if DNA barcoding can already be implemented in species-rich tropical regions. We focus on the tree flora of São Paulo state, Brazil, which contains more than 2000 tree species. Using new DNA sequence data and carefully assembled GenBank accessions, we assembled 12,113 sequences from ten different regions. The ITS, rbcL, psbA-trnH, matK and trnL regions were better represented within the available sequences for São Paulo tree flora. Currently, only 58% of the São Paulo tree flora currently have at least one barcoding sequence available. However, these species represent on average 89% of the trees in São Paulo state forests. Therefore, conservation-oriented and ecological studies can already benefit from DNA barcoding to obtain more accurate species identifications. We present which taxa remain underrepresented for the São Paulo tree flora and discuss the implications of this result for other species-rich tropical regions. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| Australia | 1 | 17% |
| Brazil | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 18% |
| Student > Bachelor | 10 | 15% |
| Researcher | 7 | 11% |
| Student > Ph. D. Student | 4 | 6% |
| Professor | 3 | 5% |
| Other | 10 | 15% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 38% |
| Environmental Science | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Unspecified | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 22 | 33% |
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 16 October 2018.
All research outputs
#8,167,125
of 25,385,509 outputs
Outputs from Genetics and Molecular Biology
#136
of 772 outputs
Outputs of similar age
#132,101
of 345,739 outputs
Outputs of similar age from Genetics and Molecular Biology
#2
of 9 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 345,739 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 61% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.