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The reduced kinome of Ostreococcus tauri: core eukaryotic signalling components in a tractable model species

Overview of attention for article published in BMC Genomics, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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14 X users

Citations

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19 Dimensions

Readers on

mendeley
38 Mendeley
citeulike
3 CiteULike
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Title
The reduced kinome of Ostreococcus tauri: core eukaryotic signalling components in a tractable model species
Published in
BMC Genomics, August 2014
DOI 10.1186/1471-2164-15-640
Pubmed ID
Authors

Matthew M Hindle, Sarah F Martin, Zeenat B Noordally, Gerben van Ooijen, Martin E Barrios-Llerena, T Ian Simpson, Thierry Le Bihan, Andrew J Millar

Abstract

The current knowledge of eukaryote signalling originates from phenotypically diverse organisms. There is a pressing need to identify conserved signalling components among eukaryotes, which will lead to the transfer of knowledge across kingdoms. Two useful properties of a eukaryote model for signalling are (1) reduced signalling complexity, and (2) conservation of signalling components. The alga Ostreococcus tauri is described as the smallest free-living eukaryote. With less than 8,000 genes, it represents a highly constrained genomic palette.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Chile 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 7 18%
Student > Master 5 13%
Student > Bachelor 3 8%
Other 3 8%
Other 5 13%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 42%
Biochemistry, Genetics and Molecular Biology 10 26%
Computer Science 3 8%
Business, Management and Accounting 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 September 2014.
All research outputs
#3,872,983
of 23,491,325 outputs
Outputs from BMC Genomics
#1,518
of 10,785 outputs
Outputs of similar age
#37,989
of 231,350 outputs
Outputs of similar age from BMC Genomics
#25
of 201 outputs
Altmetric has tracked 23,491,325 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,785 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 231,350 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.