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Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species

Overview of attention for article published in PLOS ONE, June 2013
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Article details
Title
Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0065656
Pubmed ID
Authors
Abstract

Numerous studies have applied genetic tools to the identification of source populations and transport pathways for invasive species. However, there are many gaps in the knowledge obtained from such studies because comprehensive and meaningful spatial sampling to meet these goals is difficult to achieve. Sampling populations as they arrive at the border should fill the gaps in source population identification, but such an advance has not yet been achieved with genetic data. Here we use previously acquired genetic data to assign new incursions as they invade populations within New Zealand ports and marinas. We also investigated allelelic frequency change in these recently established populations over a two-year period, and assessed the effect of temporal genetic sampling on our ability to assign new incursions to their population of source. We observed shifts in the allele frequencies among populations, as well as the complete loss of some alleles and the addition of alleles novel to New Zealand, within these recently established populations. There was no significant level of genetic differentiation observed in our samples between years, and the use of these temporal data did alter the assignment probability of new incursions. Our study further suggests that new incursions can add genetic variation to the population in a single introduction event as the founders themselves are often more genetically diverse than theory initially predicted.

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X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 5%
Brazil 1 2%
Australia 1 2%
Unknown 39 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 8 19%
Student > Bachelor 5 12%
Student > Master 4 9%
Professor 3 7%
Other 6 14%
Unknown 9 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 25 58%
Environmental Science 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Immunology and Microbiology 1 2%
Engineering 1 2%
Other 0 0%
Unknown 9 21%
Attention Score in Context

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 15 January 2015.
All research outputs
#11,901,090
of 34,363,559 outputs
Outputs from PLOS ONE
#103,469
of 224,528 outputs
Outputs of similar age
#88,968
of 242,286 outputs
Outputs of similar age from PLOS ONE
#2,510
of 5,149 outputs
Altmetric has tracked 34,363,559 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 224,528 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has gotten more attention than average, scoring higher than 52% 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 242,286 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 5,149 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.