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Comparative genome and transcriptome analysis of diatom, Skeletonema costatum, reveals evolution of genes for harmful algal bloom

Overview of attention for article published in BMC Genomics, October 2018
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1 X user

Citations

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35 Dimensions

Readers on

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90 Mendeley
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Title
Comparative genome and transcriptome analysis of diatom, Skeletonema costatum, reveals evolution of genes for harmful algal bloom
Published in
BMC Genomics, October 2018
DOI 10.1186/s12864-018-5144-5
Pubmed ID
Authors

Atsushi Ogura, Yuki Akizuki, Hiroaki Imoda, Katsuhiko Mineta, Takashi Gojobori, Satoshi Nagai

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

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 18%
Student > Ph. D. Student 14 16%
Student > Master 13 14%
Student > Bachelor 10 11%
Professor > Associate Professor 4 4%
Other 11 12%
Unknown 22 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 29%
Biochemistry, Genetics and Molecular Biology 18 20%
Environmental Science 8 9%
Engineering 3 3%
Immunology and Microbiology 2 2%
Other 8 9%
Unknown 25 28%
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 24 October 2018.
All research outputs
#20,537,234
of 23,108,064 outputs
Outputs from BMC Genomics
#9,329
of 10,708 outputs
Outputs of similar age
#304,302
of 349,712 outputs
Outputs of similar age from BMC Genomics
#148
of 185 outputs
Altmetric has tracked 23,108,064 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 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. 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 349,712 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 185 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.