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Mendeley readers
Attention Score in Context
| Chapter title |
Construction and analysis of phylogenetic trees using DNA barcode data.
|
|---|---|
| Chapter number | 19 |
| Book title |
DNA Barcodes
|
| Published in |
Methods in molecular biology, March 2012
|
| DOI | 10.1007/978-1-61779-591-6_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-590-9, 978-1-61779-591-6
|
| Authors |
Erickson DL, Driskell AC, Erickson, David L., Driskell, Amy C., David L. Erickson, Amy C. Driskell |
| Abstract |
The assembly of sequence data obtained from DNA barcodes into phylogenies or NJ trees has proven highly useful in estimating relatedness among species as well as providing a framework in which hypotheses regarding the evolution of traits or species distributions may be investigated. In this chapter, we outline the process by which DNA sequence data is assembled into a phylogenetically informative matrix, and then provide details on the methods to reconstruct NJ or phylogenetic trees that employ DNA barcode data, using only barcode data or combining barcodes with other data. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 4% |
| Germany | 2 | 4% |
| Unknown | 47 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 31% |
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Other | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 57% |
| Environmental Science | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Computer Science | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 7 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 December 2012.
All research outputs
#21,053,497
of 25,859,234 outputs
Outputs from Methods in molecular biology
#9,158
of 14,391 outputs
Outputs of similar age
#135,863
of 173,298 outputs
Outputs of similar age from Methods in molecular biology
#36
of 56 outputs
Altmetric has tracked 25,859,234 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,391 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 22nd percentile – i.e., 22% 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 173,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.