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Full genome re-sequencing reveals a novel circadian clock mutation in Arabidopsis

Overview of attention for article published in Genome Biology (Online Edition), January 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
139 Mendeley
citeulike
2 CiteULike
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Title
Full genome re-sequencing reveals a novel circadian clock mutation in Arabidopsis
Published in
Genome Biology (Online Edition), January 2011
DOI 10.1186/gb-2011-12-3-r28
Pubmed ID
Authors

Kevin Ashelford, Maria E Eriksson, Christopher M Allen, Rosalinda D'Amore, Mikael Johansson, Peter Gould, Suzanne Kay, Andrew J Millar, Neil Hall, Anthony Hall

Abstract

Map based cloning in Arabidopsis thaliana can be a difficult and time-consuming process, specifically if the phenotype is subtle and scoring labour intensive. Here, we have re-sequenced the 120-Mb genome of a novel Arabidopsis clock mutant early bird (ebi-1) in Wassilewskija (Ws-2). We demonstrate the utility of sequencing a backcrossed line in limiting the number of SNPs considered. We identify a SNP in the gene AtNFXL-2 as the likely cause of the ebi-1 phenotype.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
China 3 2%
Czechia 1 <1%
Sweden 1 <1%
India 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Spain 1 <1%
Other 2 1%
Unknown 123 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 30%
Researcher 40 29%
Student > Master 16 12%
Professor 9 6%
Student > Bachelor 7 5%
Other 20 14%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 73%
Biochemistry, Genetics and Molecular Biology 20 14%
Medicine and Dentistry 3 2%
Computer Science 2 1%
Social Sciences 2 1%
Other 4 3%
Unknown 7 5%

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 26 November 2012.
All research outputs
#8,781,908
of 16,386,073 outputs
Outputs from Genome Biology (Online Edition)
#2,968
of 3,467 outputs
Outputs of similar age
#114,486
of 260,101 outputs
Outputs of similar age from Genome Biology (Online Edition)
#170
of 188 outputs
Altmetric has tracked 16,386,073 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one is in the 14th percentile – i.e., 14% 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 260,101 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.