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Chloroplast genome sequencing analysis of Heterosigma akashiwo CCMP452 (West Atlantic) and NIES293 (West Pacific) strains

Overview of attention for article published in BMC Genomics, May 2008
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7 Wikipedia pages

Citations

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74 Mendeley
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Title
Chloroplast genome sequencing analysis of Heterosigma akashiwo CCMP452 (West Atlantic) and NIES293 (West Pacific) strains
Published in
BMC Genomics, May 2008
DOI 10.1186/1471-2164-9-211
Pubmed ID
Authors

Rose Ann Cattolico, Michael A Jacobs, Yang Zhou, Jean Chang, Melinda Duplessis, Terry Lybrand, John McKay, Han Chuan Ong, Elizabeth Sims, Gabrielle Rocap

Abstract

Heterokont algae form a monophyletic group within the stramenopile branch of the tree of life. These organisms display wide morphological diversity, ranging from minute unicells to massive, bladed forms. Surprisingly, chloroplast genome sequences are available only for diatoms, representing two (Coscinodiscophyceae and Bacillariophyceae) of approximately 18 classes of algae that comprise this taxonomic cluster. A universal challenge to chloroplast genome sequencing studies is the retrieval of highly purified DNA in quantities sufficient for analytical processing. To circumvent this problem, we have developed a simplified method for sequencing chloroplast genomes, using fosmids selected from a total cellular DNA library. The technique has been used to sequence chloroplast DNA of two Heterosigma akashiwo strains. This raphidophyte has served as a model system for studies of stramenopile chloroplast biogenesis and evolution.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Canada 2 3%
Portugal 1 1%
Italy 1 1%
Germany 1 1%
Pakistan 1 1%
Australia 1 1%
Unknown 65 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 27%
Student > Ph. D. Student 16 22%
Student > Doctoral Student 10 14%
Student > Master 9 12%
Student > Bachelor 6 8%
Other 6 8%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 51%
Biochemistry, Genetics and Molecular Biology 14 19%
Environmental Science 6 8%
Engineering 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 4 5%
Unknown 9 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 May 2019.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#31,117
of 87,328 outputs
Outputs of similar age from BMC Genomics
#16
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 87,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.