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De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system

Overview of attention for article published in BMC Genomics, July 2012
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Title
De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system
Published in
BMC Genomics, July 2012
DOI 10.1186/1471-2164-13-305
Pubmed ID
Authors

Mark P Peterson, Danielle J Whittaker, Shruthi Ambreth, Suhas Sureshchandra, Aaron Buechlein, Ram Podicheti, Jeong-Hyeon Choi, Zhao Lai, Keithanne Mockatis, John Colbourne, Haixu Tang, Ellen D Ketterson

Abstract

Though genomic-level data are becoming widely available, many of the metazoan species sequenced are laboratory systems whose natural history is not well documented. In contrast, the wide array of species with very well-characterized natural history have, until recently, lacked genomics tools. It is now possible to address significant evolutionary genomics questions by applying high-throughput sequencing to discover the majority of genes for ecologically tractable species, and by subsequently developing microarray platforms from which to investigate gene regulatory networks that function in natural systems. We used GS-FLX Titanium Sequencing (Roche/454-Sequencing) of two normalized libraries of pooled RNA samples to characterize a transcriptome of the dark-eyed junco (Junco hyemalis), a North American sparrow that is a classically studied species in the fields of photoperiodism, speciation, and hormone-mediated behavior.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 1%
Australia 1 1%
Japan 1 1%
Spain 1 1%
Unknown 68 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 27%
Student > Ph. D. Student 16 22%
Professor > Associate Professor 8 11%
Student > Master 7 9%
Student > Bachelor 6 8%
Other 11 15%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 65%
Biochemistry, Genetics and Molecular Biology 6 8%
Environmental Science 3 4%
Social Sciences 2 3%
Neuroscience 2 3%
Other 5 7%
Unknown 8 11%
Attention Score in Context

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 09 July 2012.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#139,392
of 177,907 outputs
Outputs of similar age from BMC Genomics
#120
of 162 outputs
Altmetric has tracked 25,373,627 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 162 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.