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Transcriptome analysis of functional differentiation between haploid and diploid cells of Emiliania huxleyi, a globally significant photosynthetic calcifying cell

Overview of attention for article published in Genome Biology, October 2009
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1 X user

Citations

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106 Dimensions

Readers on

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191 Mendeley
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Title
Transcriptome analysis of functional differentiation between haploid and diploid cells of Emiliania huxleyi, a globally significant photosynthetic calcifying cell
Published in
Genome Biology, October 2009
DOI 10.1186/gb-2009-10-10-r114
Pubmed ID
Authors

Peter von Dassow, Hiroyuki Ogata, Ian Probert, Patrick Wincker, Corinne Da Silva, Stéphane Audic, Jean-Michel Claverie, Colomban de Vargas

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 2 1%
Italy 1 <1%
Norway 1 <1%
Netherlands 1 <1%
Estonia 1 <1%
Canada 1 <1%
Japan 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 180 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 26%
Student > Ph. D. Student 42 22%
Student > Master 32 17%
Professor 10 5%
Student > Bachelor 10 5%
Other 28 15%
Unknown 20 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 49%
Biochemistry, Genetics and Molecular Biology 24 13%
Environmental Science 23 12%
Earth and Planetary Sciences 20 10%
Arts and Humanities 1 <1%
Other 5 3%
Unknown 24 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 23 January 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Genome Biology
#4,394
of 4,467 outputs
Outputs of similar age
#101,596
of 105,789 outputs
Outputs of similar age from Genome Biology
#36
of 36 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% 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 105,789 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.