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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, January 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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
30 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, January 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 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.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
Chile 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 6 20%
Student > Master 4 13%
Student > Bachelor 3 10%
Other 3 10%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 47%
Biochemistry, Genetics and Molecular Biology 9 30%
Computer Science 3 10%
Business, Management and Accounting 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 2 7%

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 01 December 2014.
All research outputs
#2,119,459
of 14,207,018 outputs
Outputs from BMC Genomics
#1,075
of 8,337 outputs
Outputs of similar age
#29,503
of 193,543 outputs
Outputs of similar age from BMC Genomics
#3
of 6 outputs
Altmetric has tracked 14,207,018 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,337 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 87% 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 193,543 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 84% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.