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DNA sampling from eggshells and microsatellite genotyping in rare tropical birds: Case study on Brazilian Merganser

Overview of attention for article published in Genetics and Molecular Biology, October 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
DNA sampling from eggshells and microsatellite genotyping in rare tropical birds: Case study on Brazilian Merganser
Published in
Genetics and Molecular Biology, October 2017
DOI 10.1590/1678-4685-gmb-2016-0297
Pubmed ID
Authors

Thais Augusta Maia, Sibelle Torres Vilaça, Luciana Resende da Silva, Fabricio Rodrigues Santos, Gisele Pires de Mendonça Dantas

Abstract

This study shows that sampling maternal DNA from hatched and abandoned eggshells is a viable noninvasive strategy for studying the genetics of rare or endangered tropical birds, as exemplified here by the Brazilian Merganser (Mergus octosetaceus). Eighteen microsatellites were isolated from enriched libraries and nine heterologous loci from related species were tested. Seven loci were amplified successfully, with five of them being polymorphic. These loci exhibited amplicons ranging from 110 to 254 bp for 132 samples, with 60 from eggshells and 72 from blood or muscle samples. The number of alleles for M. octosetaceus ranged from one to six (mean = 3.71), which is low compared to M. merganser (1-15 alleles), a 'least concern' species. Genetic diversity did not differ significantly between noninvasive and invasive samples (Z(u) = 0.31, p = 0.37). Thus, noninvasive sampling, as demonstrated here with eggshells, provides an efficient means to assess genetic diversity in tropical birds without the need to capture and handle them.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 24%
Researcher 3 12%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Unspecified 2 8%
Other 1 4%
Unknown 7 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 3 12%
Unspecified 2 8%
Environmental Science 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 October 2017.
All research outputs
#14,541,990
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#299
of 772 outputs
Outputs of similar age
#160,717
of 331,926 outputs
Outputs of similar age from Genetics and Molecular Biology
#3
of 15 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 61% 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 331,926 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 51% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.