The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
Attention Score in Context
| Title |
Advances of Community-Level Plant DNA Barcoding in China
|
|---|---|
| Published in |
Frontiers in Plant Science, February 2017
|
| DOI | 10.3389/fpls.2017.00225 |
| Pubmed ID | |
| Authors |
Nancai Pei, Bufeng Chen, W. J. Kress |
| Abstract |
DNA barcoding is a commonly used bio-technology in multiple disciplines including biology, environmental science, forensics and inspection, etc. Forest dynamic plots provide a unique opportunity to carry out large-scale, comparative, and multidisciplinary research for plant DNA barcoding. The paper concisely reviewed four previous progresses in China; specifically, species discrimination, community phylogenetic reconstruction, phylogenetic community structure exploration, and biodiversity index evaluation. Further, we demonstrated three major challenges; specifically, building the impetus to generate DNA barcodes using multiple plant DNA markers for all woody species at forest community levels, analyzing massive DNA barcoding sequence data, and promoting theoretical innovation. Lastly, we raised five possible directions; specifically, proposing a "purpose-driven barcode" fit for multi-level applications, developing new integrative sequencing strategies, pushing DNA barcoding beyond terrestrial ecosystem, constructing national-level DNA barcode sequence libraries for special plant groups, and establishing intelligent identification systems or online server platforms. These efforts will be potentially valuable to explore large-scale biodiversity patterns, the origin and evolution of life, and will also facilitate preservation and utilization of biodiversity resources. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 25% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 28% |
| Environmental Science | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 March 2017.
All research outputs
#5,926,011
of 22,959,818 outputs
Outputs from Frontiers in Plant Science
#3,068
of 20,389 outputs
Outputs of similar age
#96,447
of 310,768 outputs
Outputs of similar age from Frontiers in Plant Science
#84
of 511 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 20,389 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 84% 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 310,768 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 68% of its contemporaries.
We're also able to compare this research output to 511 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.