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High-throughput sequencing of Astrammina rara: Sampling the giant genome of a giant foraminiferan protist

Overview of attention for article published in BMC Genomics, March 2011
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2 X users

Citations

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72 Mendeley
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3 CiteULike
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Title
High-throughput sequencing of Astrammina rara: Sampling the giant genome of a giant foraminiferan protist
Published in
BMC Genomics, March 2011
DOI 10.1186/1471-2164-12-169
Pubmed ID
Authors

Andrea Habura, Yubo Hou, Andrew A Reilly, Samuel S Bowser

Abstract

Foraminiferan protists, which are significant players in most marine ecosystems, are also genetic innovators, harboring unique modifications to proteins that make up the basic eukaryotic cell machinery. Despite their ecological and evolutionary importance, foraminiferan genomes are poorly understood due to the extreme sequence divergence of many genes and the difficulty of obtaining pure samples: exogenous DNA from ingested food or ecto/endo symbionts often vastly exceed the amount of "native" DNA, and foraminiferans cannot be cultured axenically. Few foraminiferal genes have been sequenced from genomic material, although partial sequences of coding regions have been determined by EST studies and mass spectroscopy. The lack of genomic data has impeded evolutionary and cell-biology studies and has also hindered our ability to test ecological hypotheses using genetic tools.

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X Demographics

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

Geographical breakdown

Country Count As %
Canada 2 3%
Norway 2 3%
United Kingdom 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 31%
Student > Ph. D. Student 15 21%
Professor > Associate Professor 5 7%
Professor 4 6%
Student > Doctoral Student 4 6%
Other 12 17%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 44%
Biochemistry, Genetics and Molecular Biology 14 19%
Environmental Science 4 6%
Earth and Planetary Sciences 4 6%
Business, Management and Accounting 1 1%
Other 3 4%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2011.
All research outputs
#13,658,669
of 22,655,397 outputs
Outputs from BMC Genomics
#5,262
of 10,607 outputs
Outputs of similar age
#81,449
of 109,271 outputs
Outputs of similar age from BMC Genomics
#37
of 53 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% 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 109,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.