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Chips and tags suggest plant-environment interactions differ for two alpine Pachycladon species

Overview of attention for article published in BMC Genomics, July 2012
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Title
Chips and tags suggest plant-environment interactions differ for two alpine Pachycladon species
Published in
BMC Genomics, July 2012
DOI 10.1186/1471-2164-13-322
Pubmed ID
Authors

Claudia Voelckel, Nicole Gruenheit, Patrick Biggs, Oliver Deusch, Peter Lockhart

Abstract

Expression profiling has been proposed as a means for screening non-model organisms in their natural environments to identify genes potentially important in adaptive diversification. Tag profiling using high throughput sequencing is a relatively low cost means of expression profiling with deep coverage. However the extent to which very short cDNA sequences can be effectively used in screening for candidate genes is unclear. Here we investigate this question using an evolutionarily distant as well as a closely related transcriptome for referencing tags. We do this by comparing differentially expressed genes and processes between two closely related allopolyploid species of Pachycladon which have distinct altitudinal preferences in the New Zealand Southern Alps. We validate biological inferences against earlier microarray analyses.

X Demographics

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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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 3%
Spain 1 3%
Germany 1 3%
Brazil 1 3%
Unknown 32 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 36%
Student > Ph. D. Student 6 17%
Student > Master 5 14%
Professor > Associate Professor 4 11%
Student > Bachelor 2 6%
Other 3 8%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 67%
Environmental Science 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Other 0 0%
Unknown 4 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 19 July 2012.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#139,257
of 178,092 outputs
Outputs of similar age from BMC Genomics
#126
of 169 outputs
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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 169 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.