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The transcriptome of the novel dinoflagellate Oxyrrhis marina (Alveolata: Dinophyceae): response to salinity examined by 454 sequencing

Overview of attention for article published in BMC Genomics, October 2011
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Mentioned by

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1 tweeter

Citations

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33 Dimensions

Readers on

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78 Mendeley

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Title
The transcriptome of the novel dinoflagellate Oxyrrhis marina (Alveolata: Dinophyceae): response to salinity examined by 454 sequencing
Published in
BMC Genomics, October 2011
DOI 10.1186/1471-2164-12-519
Pubmed ID
22014029
Authors

Chris D Lowe, Luciane V Mello, Najma Samatar, Laura E Martin, David JS Montagnes, Phillip C Watts

Abstract

The heterotrophic dinoflagellate Oxyrrhis marina is increasingly studied in experimental, ecological and evolutionary contexts. Its basal phylogenetic position within the dinoflagellates make O. marina useful for understanding the origin of numerous unusual features of the dinoflagellate lineage; its broad distribution has lent O. marina to the study of protist biogeography; and nutritive flexibility and eurytopy have made it a common lab rat for the investigation of physiological responses of marine heterotrophic flagellates. Nevertheless, genome-scale resources for O. marina are scarce. Here we present a 454-based transcriptome survey for this organism. In addition, we assess sequence read abundance, as a proxy for gene expression, in response to salinity, an environmental factor potentially important in determining O. marina spatial distributions.

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Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
French Polynesia 1 1%
Brazil 1 1%
United Kingdom 1 1%
Japan 1 1%
United States 1 1%
Unknown 72 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 36%
Researcher 19 24%
Professor > Associate Professor 5 6%
Student > Master 4 5%
Lecturer > Senior Lecturer 3 4%
Other 11 14%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 56%
Biochemistry, Genetics and Molecular Biology 12 15%
Environmental Science 5 6%
Immunology and Microbiology 2 3%
Computer Science 1 1%
Other 3 4%
Unknown 11 14%

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 20 October 2011.
All research outputs
#2,501,120
of 4,701,337 outputs
Outputs from BMC Genomics
#2,819
of 4,363 outputs
Outputs of similar age
#29,849
of 69,962 outputs
Outputs of similar age from BMC Genomics
#49
of 92 outputs
Altmetric has tracked 4,701,337 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,363 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 69,962 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.

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