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Production of a reference transcriptome and transcriptomic database (PocilloporaBase) for the cauliflower coral, Pocillopora damicornis

Overview of attention for article published in BMC Genomics, November 2011
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Title
Production of a reference transcriptome and transcriptomic database (PocilloporaBase) for the cauliflower coral, Pocillopora damicornis
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-585
Pubmed ID
Authors

Nikki Traylor-Knowles, Brian R Granger, Tristan J Lubinski, Jignesh R Parikh, Sara Garamszegi, Yu Xia, Jarrod A Marto, Les Kaufman, John R Finnerty

Abstract

Motivated by the precarious state of the world's coral reefs, there is currently a keen interest in coral transcriptomics. By identifying changes in coral gene expression that are triggered by particular environmental stressors, we can begin to characterize coral stress responses at the molecular level, which should lead to the development of more powerful diagnostic tools for evaluating the health of corals in the field. Furthermore, the identification of genetic variants that are more or less resilient in the face of particular stressors will help us to develop more reliable prognoses for particular coral populations. Toward this end, we performed deep mRNA sequencing of the cauliflower coral, Pocillopora damicornis, a geographically widespread Indo-Pacific species that exhibits a great diversity of colony forms and is able to thrive in habitats subject to a wide range of human impacts. Importantly, P. damicornis is particularly amenable to laboratory culture. We collected specimens from three geographically isolated Hawaiian populations subjected to qualitatively different levels of human impact. We isolated RNA from colony fragments ("nubbins") exposed to four environmental stressors (heat, desiccation, peroxide, and hypo-saline conditions) or control conditions. The RNA was pooled and sequenced using the 454 platform.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
France 1 <1%
Italy 1 <1%
Brazil 1 <1%
Germany 1 <1%
Singapore 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Other 0 0%
Unknown 155 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 32%
Researcher 29 18%
Student > Master 19 12%
Student > Bachelor 17 10%
Student > Doctoral Student 9 5%
Other 20 12%
Unknown 18 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 56%
Biochemistry, Genetics and Molecular Biology 18 11%
Environmental Science 14 8%
Engineering 4 2%
Earth and Planetary Sciences 3 2%
Other 13 8%
Unknown 21 13%
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 01 December 2011.
All research outputs
#15,239,825
of 22,659,164 outputs
Outputs from BMC Genomics
#6,657
of 10,610 outputs
Outputs of similar age
#162,612
of 240,140 outputs
Outputs of similar age from BMC Genomics
#177
of 303 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,610 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.